Tag Archives: matlab
Error in installing an apps
I have a problem installing apps, the command windows gives me this:
com.mathworks.jmi.MatlabException: The specified path is invalid.
at com.mathworks.jmi.NativeMatlab.SendMatlabMessage(Native Method)
at com.mathworks.jmi.NativeMatlab.sendMatlabMessage(NativeMatlab.java:265)
at com.mathworks.jmi.MatlabLooper.sendMatlabMessage(MatlabLooper.java:120)
at com.mathworks.jmi.Matlab.mtFeval(Matlab.java:1541)
at com.mathworks.jmi.MatlabWorker.feval(MatlabWorker.java:197)
at com.mathworks.appmanagement.InstallAppMatlabWorker.doOnMatlabThread(InstallAppMatlabWorker.java:20)
at com.mathworks.appmanagement.InstallAppMatlabWorker.doOnMatlabThread(InstallAppMatlabWorker.java:7)
at com.mathworks.appmanagement.AbstractAppManagementMatlabWorker.runOnMatlabThread(AbstractAppManagementMatlabWorker.java:21)
at com.mathworks.jmi.MatlabWorker$2.run(MatlabWorker.java:79)
at com.mathworks.jmi.NativeMatlab.dispatchMTRequests(NativeMatlab.java:440)
What should I do?I have a problem installing apps, the command windows gives me this:
com.mathworks.jmi.MatlabException: The specified path is invalid.
at com.mathworks.jmi.NativeMatlab.SendMatlabMessage(Native Method)
at com.mathworks.jmi.NativeMatlab.sendMatlabMessage(NativeMatlab.java:265)
at com.mathworks.jmi.MatlabLooper.sendMatlabMessage(MatlabLooper.java:120)
at com.mathworks.jmi.Matlab.mtFeval(Matlab.java:1541)
at com.mathworks.jmi.MatlabWorker.feval(MatlabWorker.java:197)
at com.mathworks.appmanagement.InstallAppMatlabWorker.doOnMatlabThread(InstallAppMatlabWorker.java:20)
at com.mathworks.appmanagement.InstallAppMatlabWorker.doOnMatlabThread(InstallAppMatlabWorker.java:7)
at com.mathworks.appmanagement.AbstractAppManagementMatlabWorker.runOnMatlabThread(AbstractAppManagementMatlabWorker.java:21)
at com.mathworks.jmi.MatlabWorker$2.run(MatlabWorker.java:79)
at com.mathworks.jmi.NativeMatlab.dispatchMTRequests(NativeMatlab.java:440)
What should I do? I have a problem installing apps, the command windows gives me this:
com.mathworks.jmi.MatlabException: The specified path is invalid.
at com.mathworks.jmi.NativeMatlab.SendMatlabMessage(Native Method)
at com.mathworks.jmi.NativeMatlab.sendMatlabMessage(NativeMatlab.java:265)
at com.mathworks.jmi.MatlabLooper.sendMatlabMessage(MatlabLooper.java:120)
at com.mathworks.jmi.Matlab.mtFeval(Matlab.java:1541)
at com.mathworks.jmi.MatlabWorker.feval(MatlabWorker.java:197)
at com.mathworks.appmanagement.InstallAppMatlabWorker.doOnMatlabThread(InstallAppMatlabWorker.java:20)
at com.mathworks.appmanagement.InstallAppMatlabWorker.doOnMatlabThread(InstallAppMatlabWorker.java:7)
at com.mathworks.appmanagement.AbstractAppManagementMatlabWorker.runOnMatlabThread(AbstractAppManagementMatlabWorker.java:21)
at com.mathworks.jmi.MatlabWorker$2.run(MatlabWorker.java:79)
at com.mathworks.jmi.NativeMatlab.dispatchMTRequests(NativeMatlab.java:440)
What should I do? install, apps MATLAB Answers — New Questions
how to create complete binary tree in matlab of sensor nodes
iam new to matlab please help me to create complete binary tree in matlabiam new to matlab please help me to create complete binary tree in matlab iam new to matlab please help me to create complete binary tree in matlab text, node creation MATLAB Answers — New Questions
How can I add new properties to a pointcloud?
I want to add a new property to a pointcloud, which is not in the standard properties of pointcloud.
I’ve got a pointcloud with one color image, from where I extract the Color inforamtion, and one NIR image, from where I get a greyscale value for each point, and I want to have every point to have an additional Property called ‘NIR’ with this value.
I tried :
pointcloud=pointCloud(posxyz,’Intensity’,intensityvalue,’NIR’,nirvalue)
Matlab gives me the following error:
Error using pointCloud>validateAndParseInputs (line 818)
‘NIR’ is not a recognized parameter. For a list of valid name-value pair arguments, see the
documentation for this function.
Error in pointCloud (line 142)
[xyzPoints, C, nv, I] = validateAndParseInputs(varargin{:});I want to add a new property to a pointcloud, which is not in the standard properties of pointcloud.
I’ve got a pointcloud with one color image, from where I extract the Color inforamtion, and one NIR image, from where I get a greyscale value for each point, and I want to have every point to have an additional Property called ‘NIR’ with this value.
I tried :
pointcloud=pointCloud(posxyz,’Intensity’,intensityvalue,’NIR’,nirvalue)
Matlab gives me the following error:
Error using pointCloud>validateAndParseInputs (line 818)
‘NIR’ is not a recognized parameter. For a list of valid name-value pair arguments, see the
documentation for this function.
Error in pointCloud (line 142)
[xyzPoints, C, nv, I] = validateAndParseInputs(varargin{:}); I want to add a new property to a pointcloud, which is not in the standard properties of pointcloud.
I’ve got a pointcloud with one color image, from where I extract the Color inforamtion, and one NIR image, from where I get a greyscale value for each point, and I want to have every point to have an additional Property called ‘NIR’ with this value.
I tried :
pointcloud=pointCloud(posxyz,’Intensity’,intensityvalue,’NIR’,nirvalue)
Matlab gives me the following error:
Error using pointCloud>validateAndParseInputs (line 818)
‘NIR’ is not a recognized parameter. For a list of valid name-value pair arguments, see the
documentation for this function.
Error in pointCloud (line 142)
[xyzPoints, C, nv, I] = validateAndParseInputs(varargin{:}); pointcloud, porperty MATLAB Answers — New Questions
GUI plot
Hie guys, i imported an excel file into my gui and i plotted it out together with the vertical lines that i need. However, with the same code, it does not work for the other axes in the same GUI.Below are my codes,
——–first axes code———-
plot(handles.axes1,c,d);
hold on;
XData=get(get(handles.axes1,’children’),’XData’);
YData=get(get(handles.axes1,’children’),’YData’);
y_BPFO = interp1(XData,YData,BPFO);
t=get(handles.axes1,’ylim’);
plot([BPFO BPFO],t,’-y’);
———–second axes(in the same GUI)——–
plot(handles.axes2,c,d);
hold on;
XData1=get(get(handles.axes2,’children’),’XData’);
YData1=get(get(handles.axes2,’children’),’YData’);
y_BPFO1 = interp1(XData1,YData1,BPFO1);
q=get(handles.axes2,’ylim’);
plot([BPFO1 BPFO1],q,’-y’);
——————————————–
I manage to get the first plot with all the data and vertical lines.
However, i cant get the plot for the second axes. Can someone help me out?
Regards,
EanHie guys, i imported an excel file into my gui and i plotted it out together with the vertical lines that i need. However, with the same code, it does not work for the other axes in the same GUI.Below are my codes,
——–first axes code———-
plot(handles.axes1,c,d);
hold on;
XData=get(get(handles.axes1,’children’),’XData’);
YData=get(get(handles.axes1,’children’),’YData’);
y_BPFO = interp1(XData,YData,BPFO);
t=get(handles.axes1,’ylim’);
plot([BPFO BPFO],t,’-y’);
———–second axes(in the same GUI)——–
plot(handles.axes2,c,d);
hold on;
XData1=get(get(handles.axes2,’children’),’XData’);
YData1=get(get(handles.axes2,’children’),’YData’);
y_BPFO1 = interp1(XData1,YData1,BPFO1);
q=get(handles.axes2,’ylim’);
plot([BPFO1 BPFO1],q,’-y’);
——————————————–
I manage to get the first plot with all the data and vertical lines.
However, i cant get the plot for the second axes. Can someone help me out?
Regards,
Ean Hie guys, i imported an excel file into my gui and i plotted it out together with the vertical lines that i need. However, with the same code, it does not work for the other axes in the same GUI.Below are my codes,
——–first axes code———-
plot(handles.axes1,c,d);
hold on;
XData=get(get(handles.axes1,’children’),’XData’);
YData=get(get(handles.axes1,’children’),’YData’);
y_BPFO = interp1(XData,YData,BPFO);
t=get(handles.axes1,’ylim’);
plot([BPFO BPFO],t,’-y’);
———–second axes(in the same GUI)——–
plot(handles.axes2,c,d);
hold on;
XData1=get(get(handles.axes2,’children’),’XData’);
YData1=get(get(handles.axes2,’children’),’YData’);
y_BPFO1 = interp1(XData1,YData1,BPFO1);
q=get(handles.axes2,’ylim’);
plot([BPFO1 BPFO1],q,’-y’);
——————————————–
I manage to get the first plot with all the data and vertical lines.
However, i cant get the plot for the second axes. Can someone help me out?
Regards,
Ean plot MATLAB Answers — New Questions
CCDF Plot
Dose any one knows to generate CDDF polots for OFDM …plese help..strugling with itDose any one knows to generate CDDF polots for OFDM …plese help..strugling with it Dose any one knows to generate CDDF polots for OFDM …plese help..strugling with it ccdf plot, ofdm MATLAB Answers — New Questions
contourm plotting
I have a text file containing Lats and Lons. I want to plot a geomap with 0.1 deg grid. Then the map use a color bar, showing the number of occurrences of the Lats and Longs.I have a text file containing Lats and Lons. I want to plot a geomap with 0.1 deg grid. Then the map use a color bar, showing the number of occurrences of the Lats and Longs. I have a text file containing Lats and Lons. I want to plot a geomap with 0.1 deg grid. Then the map use a color bar, showing the number of occurrences of the Lats and Longs. contourm MATLAB Answers — New Questions
why do I receive PSB option menu block block (mask) does not have a parameter named ‘MechanicalLoad’
when I compiled my mlapp with simulink model,it has warning me PSB option menu block block (mask) does not have a parameter named ‘MechanicalLoad’。when I compiled my mlapp with simulink model,it has warning me PSB option menu block block (mask) does not have a parameter named ‘MechanicalLoad’。 when I compiled my mlapp with simulink model,it has warning me PSB option menu block block (mask) does not have a parameter named ‘MechanicalLoad’。 simulink app designer MATLAB Answers — New Questions
How to create a custom profile in matlab plots
Hello Everyone,
I am trying to create a profile based on user defined inputs. The profile consists of different modes each having a certain duration and order as defined by the user.
I have uploaded a picture which shows how i want the profile to look like.
Additionally i have coded to some extent, but i am struggling to get it right.
Also i would like to break the number of cycles for dynamic elements and use ‘…’ to show continuity. However, on th etime axis i would like to have the actual value instead of shortened periods by discontinuity.
I kindly request for support and i thank you in advance.
Vconst.val = [1, 0.85, 0.6, 0.4];
Vconst.txt = {‘OCV’, ‘Idle’, ‘Mid Load’, ‘High Load’};
Vdyn.val = [0.8, 0.7, 0.8, 0.5, 1.5, 1];
Vdyn.txt = {‘Dynamic Low’, ‘Dyn low trough’, ‘Dynamic High’, ‘Dyn high trough’, ‘SUSD’, ‘SUSD trough’};
% Define the order of phases and durations
order = {‘OCV’, ‘SUSD’, ‘OCV’, ‘Mid Load’, ‘High Load’, ‘Mid Load’, ‘Dynamic Low’, ‘Mid Load’, ‘Dynamic High’, ‘OCV’}; % duration in s for Vconst elements, nr. of cycles for Vdyn elements
durations = [100, 10, 200, 100, 50, 50, 4, 50, 4, 100]; % Corresponding durations in seconds or cycles
% Initialize time and voltage vectors
time = [];
voltage = [];
current_time = 0;
% Generate time and voltage vectors
for i = 1:length(order)
phase = order{i};
duration = durations(i);
t = current_time + (0:0.1:duration);
if ismember(phase, {‘OCV’, ‘Idle’, ‘Mid Load’, ‘High Load’})
% Constant phases
t = current_time + (0:0.1:duration);
V_idx = find(strcmp(Vconst.txt, phase));
v = Vconst.val(V_idx) * ones(size(t));
time_act(i) = t(end);
else
% Dynamic phases
n_cycles = duration; % Number of dynamic cycles
t_dynamic_full = [];
v_dynamic_full = [];
Vdyn_idx = find(strcmp(Vdyn.txt, phase));
peak_height = Vdyn.val(Vdyn_idx);
trough_height = Vdyn.val(Vdyn_idx + 1);
nr_pts = 50;
for j = 1:n_cycles
t_cycle = current_time + (0:1:nr_pts);
tri_wave = sawtooth(2 * pi * (1/nr_pts) * (t_cycle – current_time), 0.5);
tri_wave = (peak_height – trough_height) * tri_wave / 2 + (peak_height + trough_height) / 2;
tri_wave(tri_wave > peak_height) = peak_height;
tri_wave(tri_wave < trough_height) = trough_height;
t_dynamic_full = [t_dynamic_full, t_cycle];
v_dynamic_full = [v_dynamic_full, tri_wave];
current_time = t_cycle(end);
end
time_act(i) = t_dynamic_full(end);
if n_cycles > 3
t_dynamic_1 = t_dynamic_full(1:nr_pts*2+2);
v_dynamic_1 = v_dynamic_full(1:nr_pts*2+2);
t_dynamic_2 = t_dynamic_full(nr_pts*3+3:nr_pts*4+4);
v_dynamic_2 = v_dynamic_full(nr_pts*3+3:nr_pts*4+4);
t_continuity = t_dynamic_full(nr_pts*2+4:nr_pts*3+2);
v_continuity = NaN * ones(size(t_continuity));
t = [t_dynamic_1, t_continuity, t_dynamic_2];
v = [v_dynamic_1, v_continuity, v_dynamic_2];
else
t = t_dynamic_full;
v = v_dynamic_full;
end
end
time = [time, t];
voltage = [voltage, v];
current_time = t(end);
if i>1
time_act(i) = time_act(i)+time_act(i-1);
else
end
end
% Plot the voltage over time
figure;
plot(time, voltage, ‘LineWidth’, 1.5);
xlabel(‘Time (s)’);
ylabel(‘Voltage (V)’);
title(‘User Defined Plot with Flexible Phase Order and Durations’);
grid on;
ylim([0 2])
yticklabels([])Hello Everyone,
I am trying to create a profile based on user defined inputs. The profile consists of different modes each having a certain duration and order as defined by the user.
I have uploaded a picture which shows how i want the profile to look like.
Additionally i have coded to some extent, but i am struggling to get it right.
Also i would like to break the number of cycles for dynamic elements and use ‘…’ to show continuity. However, on th etime axis i would like to have the actual value instead of shortened periods by discontinuity.
I kindly request for support and i thank you in advance.
Vconst.val = [1, 0.85, 0.6, 0.4];
Vconst.txt = {‘OCV’, ‘Idle’, ‘Mid Load’, ‘High Load’};
Vdyn.val = [0.8, 0.7, 0.8, 0.5, 1.5, 1];
Vdyn.txt = {‘Dynamic Low’, ‘Dyn low trough’, ‘Dynamic High’, ‘Dyn high trough’, ‘SUSD’, ‘SUSD trough’};
% Define the order of phases and durations
order = {‘OCV’, ‘SUSD’, ‘OCV’, ‘Mid Load’, ‘High Load’, ‘Mid Load’, ‘Dynamic Low’, ‘Mid Load’, ‘Dynamic High’, ‘OCV’}; % duration in s for Vconst elements, nr. of cycles for Vdyn elements
durations = [100, 10, 200, 100, 50, 50, 4, 50, 4, 100]; % Corresponding durations in seconds or cycles
% Initialize time and voltage vectors
time = [];
voltage = [];
current_time = 0;
% Generate time and voltage vectors
for i = 1:length(order)
phase = order{i};
duration = durations(i);
t = current_time + (0:0.1:duration);
if ismember(phase, {‘OCV’, ‘Idle’, ‘Mid Load’, ‘High Load’})
% Constant phases
t = current_time + (0:0.1:duration);
V_idx = find(strcmp(Vconst.txt, phase));
v = Vconst.val(V_idx) * ones(size(t));
time_act(i) = t(end);
else
% Dynamic phases
n_cycles = duration; % Number of dynamic cycles
t_dynamic_full = [];
v_dynamic_full = [];
Vdyn_idx = find(strcmp(Vdyn.txt, phase));
peak_height = Vdyn.val(Vdyn_idx);
trough_height = Vdyn.val(Vdyn_idx + 1);
nr_pts = 50;
for j = 1:n_cycles
t_cycle = current_time + (0:1:nr_pts);
tri_wave = sawtooth(2 * pi * (1/nr_pts) * (t_cycle – current_time), 0.5);
tri_wave = (peak_height – trough_height) * tri_wave / 2 + (peak_height + trough_height) / 2;
tri_wave(tri_wave > peak_height) = peak_height;
tri_wave(tri_wave < trough_height) = trough_height;
t_dynamic_full = [t_dynamic_full, t_cycle];
v_dynamic_full = [v_dynamic_full, tri_wave];
current_time = t_cycle(end);
end
time_act(i) = t_dynamic_full(end);
if n_cycles > 3
t_dynamic_1 = t_dynamic_full(1:nr_pts*2+2);
v_dynamic_1 = v_dynamic_full(1:nr_pts*2+2);
t_dynamic_2 = t_dynamic_full(nr_pts*3+3:nr_pts*4+4);
v_dynamic_2 = v_dynamic_full(nr_pts*3+3:nr_pts*4+4);
t_continuity = t_dynamic_full(nr_pts*2+4:nr_pts*3+2);
v_continuity = NaN * ones(size(t_continuity));
t = [t_dynamic_1, t_continuity, t_dynamic_2];
v = [v_dynamic_1, v_continuity, v_dynamic_2];
else
t = t_dynamic_full;
v = v_dynamic_full;
end
end
time = [time, t];
voltage = [voltage, v];
current_time = t(end);
if i>1
time_act(i) = time_act(i)+time_act(i-1);
else
end
end
% Plot the voltage over time
figure;
plot(time, voltage, ‘LineWidth’, 1.5);
xlabel(‘Time (s)’);
ylabel(‘Voltage (V)’);
title(‘User Defined Plot with Flexible Phase Order and Durations’);
grid on;
ylim([0 2])
yticklabels([]) Hello Everyone,
I am trying to create a profile based on user defined inputs. The profile consists of different modes each having a certain duration and order as defined by the user.
I have uploaded a picture which shows how i want the profile to look like.
Additionally i have coded to some extent, but i am struggling to get it right.
Also i would like to break the number of cycles for dynamic elements and use ‘…’ to show continuity. However, on th etime axis i would like to have the actual value instead of shortened periods by discontinuity.
I kindly request for support and i thank you in advance.
Vconst.val = [1, 0.85, 0.6, 0.4];
Vconst.txt = {‘OCV’, ‘Idle’, ‘Mid Load’, ‘High Load’};
Vdyn.val = [0.8, 0.7, 0.8, 0.5, 1.5, 1];
Vdyn.txt = {‘Dynamic Low’, ‘Dyn low trough’, ‘Dynamic High’, ‘Dyn high trough’, ‘SUSD’, ‘SUSD trough’};
% Define the order of phases and durations
order = {‘OCV’, ‘SUSD’, ‘OCV’, ‘Mid Load’, ‘High Load’, ‘Mid Load’, ‘Dynamic Low’, ‘Mid Load’, ‘Dynamic High’, ‘OCV’}; % duration in s for Vconst elements, nr. of cycles for Vdyn elements
durations = [100, 10, 200, 100, 50, 50, 4, 50, 4, 100]; % Corresponding durations in seconds or cycles
% Initialize time and voltage vectors
time = [];
voltage = [];
current_time = 0;
% Generate time and voltage vectors
for i = 1:length(order)
phase = order{i};
duration = durations(i);
t = current_time + (0:0.1:duration);
if ismember(phase, {‘OCV’, ‘Idle’, ‘Mid Load’, ‘High Load’})
% Constant phases
t = current_time + (0:0.1:duration);
V_idx = find(strcmp(Vconst.txt, phase));
v = Vconst.val(V_idx) * ones(size(t));
time_act(i) = t(end);
else
% Dynamic phases
n_cycles = duration; % Number of dynamic cycles
t_dynamic_full = [];
v_dynamic_full = [];
Vdyn_idx = find(strcmp(Vdyn.txt, phase));
peak_height = Vdyn.val(Vdyn_idx);
trough_height = Vdyn.val(Vdyn_idx + 1);
nr_pts = 50;
for j = 1:n_cycles
t_cycle = current_time + (0:1:nr_pts);
tri_wave = sawtooth(2 * pi * (1/nr_pts) * (t_cycle – current_time), 0.5);
tri_wave = (peak_height – trough_height) * tri_wave / 2 + (peak_height + trough_height) / 2;
tri_wave(tri_wave > peak_height) = peak_height;
tri_wave(tri_wave < trough_height) = trough_height;
t_dynamic_full = [t_dynamic_full, t_cycle];
v_dynamic_full = [v_dynamic_full, tri_wave];
current_time = t_cycle(end);
end
time_act(i) = t_dynamic_full(end);
if n_cycles > 3
t_dynamic_1 = t_dynamic_full(1:nr_pts*2+2);
v_dynamic_1 = v_dynamic_full(1:nr_pts*2+2);
t_dynamic_2 = t_dynamic_full(nr_pts*3+3:nr_pts*4+4);
v_dynamic_2 = v_dynamic_full(nr_pts*3+3:nr_pts*4+4);
t_continuity = t_dynamic_full(nr_pts*2+4:nr_pts*3+2);
v_continuity = NaN * ones(size(t_continuity));
t = [t_dynamic_1, t_continuity, t_dynamic_2];
v = [v_dynamic_1, v_continuity, v_dynamic_2];
else
t = t_dynamic_full;
v = v_dynamic_full;
end
end
time = [time, t];
voltage = [voltage, v];
current_time = t(end);
if i>1
time_act(i) = time_act(i)+time_act(i-1);
else
end
end
% Plot the voltage over time
figure;
plot(time, voltage, ‘LineWidth’, 1.5);
xlabel(‘Time (s)’);
ylabel(‘Voltage (V)’);
title(‘User Defined Plot with Flexible Phase Order and Durations’);
grid on;
ylim([0 2])
yticklabels([]) plot, profile creation, data handling MATLAB Answers — New Questions
polar plot
Hi everyone!
I want to plot a function like that:
<http://i44.tinypic.com/hu3v2q.jpg>
the plot is in fig. 138 (c) and its expression in Ms.
What’s the code?
because, I think, there is a scale factor, I use this code:
ts=linspace(0,2*pi,500);
Ms = 1-ts.*sin(ts)-0.5*cos(ts);
polar(ts,Ms)
but this generates a wrong plot.
How can I do this?
Thanks a lot for your answer!
PincoHi everyone!
I want to plot a function like that:
<http://i44.tinypic.com/hu3v2q.jpg>
the plot is in fig. 138 (c) and its expression in Ms.
What’s the code?
because, I think, there is a scale factor, I use this code:
ts=linspace(0,2*pi,500);
Ms = 1-ts.*sin(ts)-0.5*cos(ts);
polar(ts,Ms)
but this generates a wrong plot.
How can I do this?
Thanks a lot for your answer!
Pinco Hi everyone!
I want to plot a function like that:
<http://i44.tinypic.com/hu3v2q.jpg>
the plot is in fig. 138 (c) and its expression in Ms.
What’s the code?
because, I think, there is a scale factor, I use this code:
ts=linspace(0,2*pi,500);
Ms = 1-ts.*sin(ts)-0.5*cos(ts);
polar(ts,Ms)
but this generates a wrong plot.
How can I do this?
Thanks a lot for your answer!
Pinco polar, plot MATLAB Answers — New Questions
Application of multistage decimator filter to signal
Dear all
We had a piece of code to decimate data (decimation ratio (dec_factor) > 13) that read:
Hfd=fdesign.decimator(dec_factor,’Nyquist’);
Hm=design(Hfd,’multistage’);
signal_output=filter(Hm,signal_input);
Matlad is warning that
Warning: Multistage design using fdesign.decimator will be removed. Use designMultistageDecimator instead.
So we are replacing the codewith:
Astop = 80;
TW = 0.03*fs_sampling/2;
Hm=designMultistageDecimator(dec_factor,fs_sampling,TW,Astop,’CostMethod’,’design’);
We don´t know what to do with Hm in order to apply the filter to get signal_input.
Any ideas?
Thanks in advanceDear all
We had a piece of code to decimate data (decimation ratio (dec_factor) > 13) that read:
Hfd=fdesign.decimator(dec_factor,’Nyquist’);
Hm=design(Hfd,’multistage’);
signal_output=filter(Hm,signal_input);
Matlad is warning that
Warning: Multistage design using fdesign.decimator will be removed. Use designMultistageDecimator instead.
So we are replacing the codewith:
Astop = 80;
TW = 0.03*fs_sampling/2;
Hm=designMultistageDecimator(dec_factor,fs_sampling,TW,Astop,’CostMethod’,’design’);
We don´t know what to do with Hm in order to apply the filter to get signal_input.
Any ideas?
Thanks in advance Dear all
We had a piece of code to decimate data (decimation ratio (dec_factor) > 13) that read:
Hfd=fdesign.decimator(dec_factor,’Nyquist’);
Hm=design(Hfd,’multistage’);
signal_output=filter(Hm,signal_input);
Matlad is warning that
Warning: Multistage design using fdesign.decimator will be removed. Use designMultistageDecimator instead.
So we are replacing the codewith:
Astop = 80;
TW = 0.03*fs_sampling/2;
Hm=designMultistageDecimator(dec_factor,fs_sampling,TW,Astop,’CostMethod’,’design’);
We don´t know what to do with Hm in order to apply the filter to get signal_input.
Any ideas?
Thanks in advance filtering, multistage filtering MATLAB Answers — New Questions
issue with fmincon function.
I want to maximize rate using fmincon function. the problem is I have an error as "Arrays have incompatible sizes for this operation." and "Caused by: Failure in initial objective function evaluation. FMINCON cannot continue.". I provide a part of my code and the objective function here. I guess the problem is in the reshape part and it might be wrong. I would really appreciate it if someone could help me to write the objective function correctly.
when . I should mention that is a vector and is a matrix for .
here is my code.
%initial guess for P2 and W2
P2_0 = ones(Ns,1) * (tilde_P2 / Ns) / 2; % initial guess for P2
W2_0 = ones(Ms,Ns); %initial guess for W2
%combine initial guess in a single vector
x0 = [P2_0 ; W2_0(:)];
% Define the linear constraint (C2)
A = zeros(Np, Ns + Ms * Ns);
for l = 1:Np
A(l, 1:Ns) = xi’; % Place xi’ in the first Ns columns of each row
end
% Define the bounds(C1)
lb = [zeros(Ns, 1); -Inf(Ms * Ns, 1)]; % Lower bound (P2 >= 0, no lower bound for W2)
ub = [repmat(tilde_P2 / Ns, Ns, 1); Inf(Ms * Ns, 1)]; % Upper bound (P2 <= tilde_P2_max / Ns, no upper bound for W2)
%%%objective function
obj_fun = @(x) -((Nup – Nt) / Nup * sum(log(1 + x(1:Ns) ./ (sigma2 * reshape(x(Ns+1:end), Ms, Ns).^2))));
% Set options for fmincon
options = optimoptions(‘fmincon’, ‘Display’, ‘iter’, ‘Algorithm’, ‘interior-point’);
% Run the optimization
[x_opt, fval] = fmincon(obj_fun, x0, A, hat_zeta1, [], [], lb, ub, [], options);
% Extract optimized values for P2 and W2
P2_opt = x_opt(1:Ns);
W2_opt = reshape(x_opt(Ns+1:end), Ms, Ns);I want to maximize rate using fmincon function. the problem is I have an error as "Arrays have incompatible sizes for this operation." and "Caused by: Failure in initial objective function evaluation. FMINCON cannot continue.". I provide a part of my code and the objective function here. I guess the problem is in the reshape part and it might be wrong. I would really appreciate it if someone could help me to write the objective function correctly.
when . I should mention that is a vector and is a matrix for .
here is my code.
%initial guess for P2 and W2
P2_0 = ones(Ns,1) * (tilde_P2 / Ns) / 2; % initial guess for P2
W2_0 = ones(Ms,Ns); %initial guess for W2
%combine initial guess in a single vector
x0 = [P2_0 ; W2_0(:)];
% Define the linear constraint (C2)
A = zeros(Np, Ns + Ms * Ns);
for l = 1:Np
A(l, 1:Ns) = xi’; % Place xi’ in the first Ns columns of each row
end
% Define the bounds(C1)
lb = [zeros(Ns, 1); -Inf(Ms * Ns, 1)]; % Lower bound (P2 >= 0, no lower bound for W2)
ub = [repmat(tilde_P2 / Ns, Ns, 1); Inf(Ms * Ns, 1)]; % Upper bound (P2 <= tilde_P2_max / Ns, no upper bound for W2)
%%%objective function
obj_fun = @(x) -((Nup – Nt) / Nup * sum(log(1 + x(1:Ns) ./ (sigma2 * reshape(x(Ns+1:end), Ms, Ns).^2))));
% Set options for fmincon
options = optimoptions(‘fmincon’, ‘Display’, ‘iter’, ‘Algorithm’, ‘interior-point’);
% Run the optimization
[x_opt, fval] = fmincon(obj_fun, x0, A, hat_zeta1, [], [], lb, ub, [], options);
% Extract optimized values for P2 and W2
P2_opt = x_opt(1:Ns);
W2_opt = reshape(x_opt(Ns+1:end), Ms, Ns); I want to maximize rate using fmincon function. the problem is I have an error as "Arrays have incompatible sizes for this operation." and "Caused by: Failure in initial objective function evaluation. FMINCON cannot continue.". I provide a part of my code and the objective function here. I guess the problem is in the reshape part and it might be wrong. I would really appreciate it if someone could help me to write the objective function correctly.
when . I should mention that is a vector and is a matrix for .
here is my code.
%initial guess for P2 and W2
P2_0 = ones(Ns,1) * (tilde_P2 / Ns) / 2; % initial guess for P2
W2_0 = ones(Ms,Ns); %initial guess for W2
%combine initial guess in a single vector
x0 = [P2_0 ; W2_0(:)];
% Define the linear constraint (C2)
A = zeros(Np, Ns + Ms * Ns);
for l = 1:Np
A(l, 1:Ns) = xi’; % Place xi’ in the first Ns columns of each row
end
% Define the bounds(C1)
lb = [zeros(Ns, 1); -Inf(Ms * Ns, 1)]; % Lower bound (P2 >= 0, no lower bound for W2)
ub = [repmat(tilde_P2 / Ns, Ns, 1); Inf(Ms * Ns, 1)]; % Upper bound (P2 <= tilde_P2_max / Ns, no upper bound for W2)
%%%objective function
obj_fun = @(x) -((Nup – Nt) / Nup * sum(log(1 + x(1:Ns) ./ (sigma2 * reshape(x(Ns+1:end), Ms, Ns).^2))));
% Set options for fmincon
options = optimoptions(‘fmincon’, ‘Display’, ‘iter’, ‘Algorithm’, ‘interior-point’);
% Run the optimization
[x_opt, fval] = fmincon(obj_fun, x0, A, hat_zeta1, [], [], lb, ub, [], options);
% Extract optimized values for P2 and W2
P2_opt = x_opt(1:Ns);
W2_opt = reshape(x_opt(Ns+1:end), Ms, Ns); fmincon, error MATLAB Answers — New Questions
How to set legend marker size
How do I change the marker size on the legend ? I can change the font size but not marker.
l = legend(‘Orientation’, ‘Horizontal’, ‘RNN (Ours)’, ‘SLIC’, ‘SEEDS’, ‘LSC’, ‘ERS’, ‘FH’);
l.FontSize = 20;
%l.MarkerSize = 20; does not work
%l.markersize = 20; does not work
set(l,’Position’, [0.4 0 0.2 0.2], ‘Units’, ‘normalized’);
%set(l,’MarkerSize’, 20); does not workHow do I change the marker size on the legend ? I can change the font size but not marker.
l = legend(‘Orientation’, ‘Horizontal’, ‘RNN (Ours)’, ‘SLIC’, ‘SEEDS’, ‘LSC’, ‘ERS’, ‘FH’);
l.FontSize = 20;
%l.MarkerSize = 20; does not work
%l.markersize = 20; does not work
set(l,’Position’, [0.4 0 0.2 0.2], ‘Units’, ‘normalized’);
%set(l,’MarkerSize’, 20); does not work How do I change the marker size on the legend ? I can change the font size but not marker.
l = legend(‘Orientation’, ‘Horizontal’, ‘RNN (Ours)’, ‘SLIC’, ‘SEEDS’, ‘LSC’, ‘ERS’, ‘FH’);
l.FontSize = 20;
%l.MarkerSize = 20; does not work
%l.markersize = 20; does not work
set(l,’Position’, [0.4 0 0.2 0.2], ‘Units’, ‘normalized’);
%set(l,’MarkerSize’, 20); does not work plot, legend, markersize MATLAB Answers — New Questions
NVIDIA Jetson setup issue: coder.checkGpuInstall can’t find nvcc
I am trying to use the GPU coder to send converted code to my Jetson Orin Nano. However, when I use the coder.checkGpuInstall command, it says that it can’t find nvcc.
I followed the setup instructions with the variables here:
Documentation
and referenced the following questions before posting this one:
https://www.mathworks.com/matlabcentral/answers/506483-ncc-problem-in-jetson-nano
https://www.mathworks.com/matlabcentral/answers/2068206-checking-for-cuda-availability-on-the-target-checking-for-nvcc-in-the-target-system-path-war
This is a cropped version of my script:
if (boardName == "jetson")
if isempty(deviceAddress)
hwobj = jetson();
else
hwobj = jetson(deviceAddress,userName,password);
end
else
if isempty(deviceAddress)
hwobj = drive();
else
hwobj = drive(deviceAddress,userName,password);
end
end
if (boardName == "jetson")
envCfg = coder.gpuEnvConfig(‘jetson’);
else
envCfg = coder.gpuEnvConfig(‘drive’);
end
envCfg.BasicCodegen = 1;
envCfg.HardwareObject = hwobj;
coder.checkGpuInstall(envCfg);
and the output:
Checking for CUDA availability on the Target…
Checking for ‘nvcc’ in the target system path…
Checking for cuDNN library availability on the Target…
Checking for TensorRT library availability on the Target…
Checking for prerequisite libraries is complete.
Gathering hardware details…
Checking for third-party library availability on the Target…
Warning: Unable to find the SDL 1.2 library on the target.
> In nvidiaio.internal.checkForSdlLibs (line 14)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to find one of the packages "sox", "libsox-fmt-all" or "libsox-dev". Make sure to have installed these
packages on the target hardware using "apt-get". These are required for successful deployment of Audio File Read block
in Simulink.
> In nvidiaio.internal.checkSoXVersion (line 17)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to fetch information about GPU devices.
> In nvidiaio.internal.getGpuInfo (line 77)
In nvidiaboard/getGpuInfo
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Gathering hardware details is complete.
Board name : NVIDIA Jetson Orin Nano Developer Kit
CUDA Version : 12.2
cuDNN Version : 8.9
TensorRT Version : 8.6
GStreamer Version : 1.20.3
V4L2 Version : 1.22.1-2build1
SDL Version :
OpenCV Version : 4.8.0
Available Webcams :
Available GPUs :
Available Digital Pins : 7 11 12 13 15 16 18 19 21 22 23 24 26 29 31 32 33 35 36 37 38 40
Compatible GPU : FAILED (Unable to find GPU information. This is due to the missing of ‘nvcc’ on the system path. Update the ‘.bashrc’ script on the target to set up the required environment variables.)
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
Basic Code Generation : PASSED
In accordance with the setup guide, I updated both the .bashrc file (and /etc/environment file for good measure) on the jetson, I have pasted them below:
.bashrc excerpt:
# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples
# If not running interactively, don’t do anything
case $- in
*i*) ;;
*)
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export ARM_COMPUTELIB=$ARM_COMPUTELIB:/usr/local/arm_compute
return;;
esac
# don’t put duplicate lines or lines starting with space in the history.
# See bash(1) for more options
HISTCONTROL=ignoreboth
/etc/environment:
PATH="/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin"
LANG="en_US.UTF-8"
LD_LIBRARY_PATH="/usr/local/cuda/lib64"
And to confirm, the jetson does show nvcc is installed correctly:
$ nvcc –version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Aug_15_22:08:11_PDT_2023
Cuda compilation tools, release 12.2, V12.2.140
Build cuda_12.2.r12.2/compiler.33191640_0
Matlab version info:
MATLAB Version: 24.1.0.2628055 (R2024a) Update 4
Operating System: Linux 5.15.0-116-generic #126~20.04.1-Ubuntu SMP Mon Jul 1 15:40:07 UTC 2024 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Any help on this topic would be much appreciated. Thank you!I am trying to use the GPU coder to send converted code to my Jetson Orin Nano. However, when I use the coder.checkGpuInstall command, it says that it can’t find nvcc.
I followed the setup instructions with the variables here:
Documentation
and referenced the following questions before posting this one:
https://www.mathworks.com/matlabcentral/answers/506483-ncc-problem-in-jetson-nano
https://www.mathworks.com/matlabcentral/answers/2068206-checking-for-cuda-availability-on-the-target-checking-for-nvcc-in-the-target-system-path-war
This is a cropped version of my script:
if (boardName == "jetson")
if isempty(deviceAddress)
hwobj = jetson();
else
hwobj = jetson(deviceAddress,userName,password);
end
else
if isempty(deviceAddress)
hwobj = drive();
else
hwobj = drive(deviceAddress,userName,password);
end
end
if (boardName == "jetson")
envCfg = coder.gpuEnvConfig(‘jetson’);
else
envCfg = coder.gpuEnvConfig(‘drive’);
end
envCfg.BasicCodegen = 1;
envCfg.HardwareObject = hwobj;
coder.checkGpuInstall(envCfg);
and the output:
Checking for CUDA availability on the Target…
Checking for ‘nvcc’ in the target system path…
Checking for cuDNN library availability on the Target…
Checking for TensorRT library availability on the Target…
Checking for prerequisite libraries is complete.
Gathering hardware details…
Checking for third-party library availability on the Target…
Warning: Unable to find the SDL 1.2 library on the target.
> In nvidiaio.internal.checkForSdlLibs (line 14)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to find one of the packages "sox", "libsox-fmt-all" or "libsox-dev". Make sure to have installed these
packages on the target hardware using "apt-get". These are required for successful deployment of Audio File Read block
in Simulink.
> In nvidiaio.internal.checkSoXVersion (line 17)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to fetch information about GPU devices.
> In nvidiaio.internal.getGpuInfo (line 77)
In nvidiaboard/getGpuInfo
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Gathering hardware details is complete.
Board name : NVIDIA Jetson Orin Nano Developer Kit
CUDA Version : 12.2
cuDNN Version : 8.9
TensorRT Version : 8.6
GStreamer Version : 1.20.3
V4L2 Version : 1.22.1-2build1
SDL Version :
OpenCV Version : 4.8.0
Available Webcams :
Available GPUs :
Available Digital Pins : 7 11 12 13 15 16 18 19 21 22 23 24 26 29 31 32 33 35 36 37 38 40
Compatible GPU : FAILED (Unable to find GPU information. This is due to the missing of ‘nvcc’ on the system path. Update the ‘.bashrc’ script on the target to set up the required environment variables.)
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
Basic Code Generation : PASSED
In accordance with the setup guide, I updated both the .bashrc file (and /etc/environment file for good measure) on the jetson, I have pasted them below:
.bashrc excerpt:
# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples
# If not running interactively, don’t do anything
case $- in
*i*) ;;
*)
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export ARM_COMPUTELIB=$ARM_COMPUTELIB:/usr/local/arm_compute
return;;
esac
# don’t put duplicate lines or lines starting with space in the history.
# See bash(1) for more options
HISTCONTROL=ignoreboth
/etc/environment:
PATH="/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin"
LANG="en_US.UTF-8"
LD_LIBRARY_PATH="/usr/local/cuda/lib64"
And to confirm, the jetson does show nvcc is installed correctly:
$ nvcc –version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Aug_15_22:08:11_PDT_2023
Cuda compilation tools, release 12.2, V12.2.140
Build cuda_12.2.r12.2/compiler.33191640_0
Matlab version info:
MATLAB Version: 24.1.0.2628055 (R2024a) Update 4
Operating System: Linux 5.15.0-116-generic #126~20.04.1-Ubuntu SMP Mon Jul 1 15:40:07 UTC 2024 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Any help on this topic would be much appreciated. Thank you! I am trying to use the GPU coder to send converted code to my Jetson Orin Nano. However, when I use the coder.checkGpuInstall command, it says that it can’t find nvcc.
I followed the setup instructions with the variables here:
Documentation
and referenced the following questions before posting this one:
https://www.mathworks.com/matlabcentral/answers/506483-ncc-problem-in-jetson-nano
https://www.mathworks.com/matlabcentral/answers/2068206-checking-for-cuda-availability-on-the-target-checking-for-nvcc-in-the-target-system-path-war
This is a cropped version of my script:
if (boardName == "jetson")
if isempty(deviceAddress)
hwobj = jetson();
else
hwobj = jetson(deviceAddress,userName,password);
end
else
if isempty(deviceAddress)
hwobj = drive();
else
hwobj = drive(deviceAddress,userName,password);
end
end
if (boardName == "jetson")
envCfg = coder.gpuEnvConfig(‘jetson’);
else
envCfg = coder.gpuEnvConfig(‘drive’);
end
envCfg.BasicCodegen = 1;
envCfg.HardwareObject = hwobj;
coder.checkGpuInstall(envCfg);
and the output:
Checking for CUDA availability on the Target…
Checking for ‘nvcc’ in the target system path…
Checking for cuDNN library availability on the Target…
Checking for TensorRT library availability on the Target…
Checking for prerequisite libraries is complete.
Gathering hardware details…
Checking for third-party library availability on the Target…
Warning: Unable to find the SDL 1.2 library on the target.
> In nvidiaio.internal.checkForSdlLibs (line 14)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to find one of the packages "sox", "libsox-fmt-all" or "libsox-dev". Make sure to have installed these
packages on the target hardware using "apt-get". These are required for successful deployment of Audio File Read block
in Simulink.
> In nvidiaio.internal.checkSoXVersion (line 17)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to fetch information about GPU devices.
> In nvidiaio.internal.getGpuInfo (line 77)
In nvidiaboard/getGpuInfo
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Gathering hardware details is complete.
Board name : NVIDIA Jetson Orin Nano Developer Kit
CUDA Version : 12.2
cuDNN Version : 8.9
TensorRT Version : 8.6
GStreamer Version : 1.20.3
V4L2 Version : 1.22.1-2build1
SDL Version :
OpenCV Version : 4.8.0
Available Webcams :
Available GPUs :
Available Digital Pins : 7 11 12 13 15 16 18 19 21 22 23 24 26 29 31 32 33 35 36 37 38 40
Compatible GPU : FAILED (Unable to find GPU information. This is due to the missing of ‘nvcc’ on the system path. Update the ‘.bashrc’ script on the target to set up the required environment variables.)
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
Basic Code Generation : PASSED
In accordance with the setup guide, I updated both the .bashrc file (and /etc/environment file for good measure) on the jetson, I have pasted them below:
.bashrc excerpt:
# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples
# If not running interactively, don’t do anything
case $- in
*i*) ;;
*)
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export ARM_COMPUTELIB=$ARM_COMPUTELIB:/usr/local/arm_compute
return;;
esac
# don’t put duplicate lines or lines starting with space in the history.
# See bash(1) for more options
HISTCONTROL=ignoreboth
/etc/environment:
PATH="/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin"
LANG="en_US.UTF-8"
LD_LIBRARY_PATH="/usr/local/cuda/lib64"
And to confirm, the jetson does show nvcc is installed correctly:
$ nvcc –version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Aug_15_22:08:11_PDT_2023
Cuda compilation tools, release 12.2, V12.2.140
Build cuda_12.2.r12.2/compiler.33191640_0
Matlab version info:
MATLAB Version: 24.1.0.2628055 (R2024a) Update 4
Operating System: Linux 5.15.0-116-generic #126~20.04.1-Ubuntu SMP Mon Jul 1 15:40:07 UTC 2024 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Any help on this topic would be much appreciated. Thank you! gpu, nvidia, jetson, nvcc, cuda, error, env, matlab coder, embedded coder, hardware, gpu coder MATLAB Answers — New Questions
How to create an attention layer for deep learning networks?
Hello,
Can you please let me know how to create an attention layer for deep learning classification networks? I have a simple 1D convolutional neural network and I want to create a layer that focuses on special parts of a signal as an attention mechanism.
I have been working on the wav2vec MATLAB code recently, but the best I found is the multi-head attention manual calculation. Can we make it as a layer to be included for the trainNetwork function?
For example, this is my current network, which is from this example:
numFilters = 128;
filterSize = 5;
dropoutFactor = 0.005;
numBlocks = 4;
layer = sequenceInputLayer(numFeatures,Normalization="zerocenter",Name="input");
lgraph = layerGraph(layer);
outputName = layer.Name;
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(dropoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(dropoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
lgraph = addLayers(lgraph,layers);
lgraph = connectLayers(lgraph,outputName,"conv1_"+i);
% Skip connection.
if i == 1
% Include convolution in first skip connection.
layer = convolution1dLayer(1,numFilters,Name="convSkip");
lgraph = addLayers(lgraph,layer);
lgraph = connectLayers(lgraph,outputName,"convSkip");
lgraph = connectLayers(lgraph,"convSkip","add_" + i + "/in2");
else
lgraph = connectLayers(lgraph,outputName,"add_" + i + "/in2");
end
% Update layer output name.
outputName = "add_" + i;
end
layers = [
globalMaxPooling1dLayer("Name",’gapl’)
fullyConnectedLayer(numClasses,Name="fc")
softmaxLayer
classificationLayer(‘Classes’,unique(Y_train),’ClassWeights’,weights)];
lgraph = addLayers(lgraph,layers);
lgraph = connectLayers(lgraph,outputName,"gapl");
I appreciate your help!
regards,
MohanadHello,
Can you please let me know how to create an attention layer for deep learning classification networks? I have a simple 1D convolutional neural network and I want to create a layer that focuses on special parts of a signal as an attention mechanism.
I have been working on the wav2vec MATLAB code recently, but the best I found is the multi-head attention manual calculation. Can we make it as a layer to be included for the trainNetwork function?
For example, this is my current network, which is from this example:
numFilters = 128;
filterSize = 5;
dropoutFactor = 0.005;
numBlocks = 4;
layer = sequenceInputLayer(numFeatures,Normalization="zerocenter",Name="input");
lgraph = layerGraph(layer);
outputName = layer.Name;
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(dropoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(dropoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
lgraph = addLayers(lgraph,layers);
lgraph = connectLayers(lgraph,outputName,"conv1_"+i);
% Skip connection.
if i == 1
% Include convolution in first skip connection.
layer = convolution1dLayer(1,numFilters,Name="convSkip");
lgraph = addLayers(lgraph,layer);
lgraph = connectLayers(lgraph,outputName,"convSkip");
lgraph = connectLayers(lgraph,"convSkip","add_" + i + "/in2");
else
lgraph = connectLayers(lgraph,outputName,"add_" + i + "/in2");
end
% Update layer output name.
outputName = "add_" + i;
end
layers = [
globalMaxPooling1dLayer("Name",’gapl’)
fullyConnectedLayer(numClasses,Name="fc")
softmaxLayer
classificationLayer(‘Classes’,unique(Y_train),’ClassWeights’,weights)];
lgraph = addLayers(lgraph,layers);
lgraph = connectLayers(lgraph,outputName,"gapl");
I appreciate your help!
regards,
Mohanad Hello,
Can you please let me know how to create an attention layer for deep learning classification networks? I have a simple 1D convolutional neural network and I want to create a layer that focuses on special parts of a signal as an attention mechanism.
I have been working on the wav2vec MATLAB code recently, but the best I found is the multi-head attention manual calculation. Can we make it as a layer to be included for the trainNetwork function?
For example, this is my current network, which is from this example:
numFilters = 128;
filterSize = 5;
dropoutFactor = 0.005;
numBlocks = 4;
layer = sequenceInputLayer(numFeatures,Normalization="zerocenter",Name="input");
lgraph = layerGraph(layer);
outputName = layer.Name;
for i = 1:numBlocks
dilationFactor = 2^(i-1);
layers = [
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv1_"+i)
layerNormalizationLayer
spatialDropoutLayer(dropoutFactor)
convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")
layerNormalizationLayer
reluLayer
spatialDropoutLayer(dropoutFactor)
additionLayer(2,Name="add_"+i)];
% Add and connect layers.
lgraph = addLayers(lgraph,layers);
lgraph = connectLayers(lgraph,outputName,"conv1_"+i);
% Skip connection.
if i == 1
% Include convolution in first skip connection.
layer = convolution1dLayer(1,numFilters,Name="convSkip");
lgraph = addLayers(lgraph,layer);
lgraph = connectLayers(lgraph,outputName,"convSkip");
lgraph = connectLayers(lgraph,"convSkip","add_" + i + "/in2");
else
lgraph = connectLayers(lgraph,outputName,"add_" + i + "/in2");
end
% Update layer output name.
outputName = "add_" + i;
end
layers = [
globalMaxPooling1dLayer("Name",’gapl’)
fullyConnectedLayer(numClasses,Name="fc")
softmaxLayer
classificationLayer(‘Classes’,unique(Y_train),’ClassWeights’,weights)];
lgraph = addLayers(lgraph,layers);
lgraph = connectLayers(lgraph,outputName,"gapl");
I appreciate your help!
regards,
Mohanad deep learning, attention, cnn MATLAB Answers — New Questions
What part of this training and testing steps need(s) to be modified to get the correct missing rate?
I got missing rate = 1 with this attached code, but my class’s auto grading system says it’s incorrect.
What part of this training and testing steps need(s) to be modified to get the correct missing rate?
[Current Code]
load("C:UsersxxooxOneDriveデスクトップMATLAB worksComputer Vision for Engineering and ScienceC2-MachineLearningForComputerVisionModule 4WoodKnotsGroundTruth.mat");
testPath = overwriteGTruthLocations(gTruthTrain);
imageLabeler(gTruthTrain)
imageLabeler(testPath)
load("C:UsersxxooxOneDriveデスクトップMATLAB worksComputer Vision for Engineering and ScienceC2-MachineLearningForComputerVisionModule 4WoodKnotsGroundTruthTest2.mat");
imdsTest = imageDatastore(testPath);
gTruth.LabelDefinitions
gTruth.DataSource
gTruth.LabelData
objectTrainingData = objectDetectorTrainingData(gTruthTrain)
acfDetector = trainACFObjectDetector(objectTrainingData)
imdsTest = imageDatastore(testPath)
bboxes = detect(acfDetector,imdsTest)
evaluateDetectionMissRate(bboxes,gTruthTest.LabelData)I got missing rate = 1 with this attached code, but my class’s auto grading system says it’s incorrect.
What part of this training and testing steps need(s) to be modified to get the correct missing rate?
[Current Code]
load("C:UsersxxooxOneDriveデスクトップMATLAB worksComputer Vision for Engineering and ScienceC2-MachineLearningForComputerVisionModule 4WoodKnotsGroundTruth.mat");
testPath = overwriteGTruthLocations(gTruthTrain);
imageLabeler(gTruthTrain)
imageLabeler(testPath)
load("C:UsersxxooxOneDriveデスクトップMATLAB worksComputer Vision for Engineering and ScienceC2-MachineLearningForComputerVisionModule 4WoodKnotsGroundTruthTest2.mat");
imdsTest = imageDatastore(testPath);
gTruth.LabelDefinitions
gTruth.DataSource
gTruth.LabelData
objectTrainingData = objectDetectorTrainingData(gTruthTrain)
acfDetector = trainACFObjectDetector(objectTrainingData)
imdsTest = imageDatastore(testPath)
bboxes = detect(acfDetector,imdsTest)
evaluateDetectionMissRate(bboxes,gTruthTest.LabelData) I got missing rate = 1 with this attached code, but my class’s auto grading system says it’s incorrect.
What part of this training and testing steps need(s) to be modified to get the correct missing rate?
[Current Code]
load("C:UsersxxooxOneDriveデスクトップMATLAB worksComputer Vision for Engineering and ScienceC2-MachineLearningForComputerVisionModule 4WoodKnotsGroundTruth.mat");
testPath = overwriteGTruthLocations(gTruthTrain);
imageLabeler(gTruthTrain)
imageLabeler(testPath)
load("C:UsersxxooxOneDriveデスクトップMATLAB worksComputer Vision for Engineering and ScienceC2-MachineLearningForComputerVisionModule 4WoodKnotsGroundTruthTest2.mat");
imdsTest = imageDatastore(testPath);
gTruth.LabelDefinitions
gTruth.DataSource
gTruth.LabelData
objectTrainingData = objectDetectorTrainingData(gTruthTrain)
acfDetector = trainACFObjectDetector(objectTrainingData)
imdsTest = imageDatastore(testPath)
bboxes = detect(acfDetector,imdsTest)
evaluateDetectionMissRate(bboxes,gTruthTest.LabelData) matlab, machine learning, testing, training, image labeling MATLAB Answers — New Questions
How can i link between ansys workbench and matlab to make optimization ?
How can i link between ansys workbench and matlab to make optimization ?
Note : the geomtry is imported from solidworksHow can i link between ansys workbench and matlab to make optimization ?
Note : the geomtry is imported from solidworks How can i link between ansys workbench and matlab to make optimization ?
Note : the geomtry is imported from solidworks ansys, optimization MATLAB Answers — New Questions
Compile-time size assumption error in Simulink function script
I’m encountering a compile-time size assumption violation error when attempting to run my MATLAB code with code generation.
I am working with a column vector ffeout_lp which has the dimensions 63680×1, and an integer oversample which is set to 40. I am quite new to scripting in simulink, so what I have tried so far may not have been optimal. The ‘coder.varsize’ statements above are to initialize space for arrays, as to my knowledge dynamic initializing is not permitted for code generation. How do I go about this compile time error?
Thanks!I’m encountering a compile-time size assumption violation error when attempting to run my MATLAB code with code generation.
I am working with a column vector ffeout_lp which has the dimensions 63680×1, and an integer oversample which is set to 40. I am quite new to scripting in simulink, so what I have tried so far may not have been optimal. The ‘coder.varsize’ statements above are to initialize space for arrays, as to my knowledge dynamic initializing is not permitted for code generation. How do I go about this compile time error?
Thanks! I’m encountering a compile-time size assumption violation error when attempting to run my MATLAB code with code generation.
I am working with a column vector ffeout_lp which has the dimensions 63680×1, and an integer oversample which is set to 40. I am quite new to scripting in simulink, so what I have tried so far may not have been optimal. The ‘coder.varsize’ statements above are to initialize space for arrays, as to my knowledge dynamic initializing is not permitted for code generation. How do I go about this compile time error?
Thanks! simulink, compile time size assumption, matlab function, signal processing, code generation MATLAB Answers — New Questions
Is there a way to increase the default ping timeout time for MATLAB Ethernet AXI manager for Xilinx FPGA?
Is there a way to increase the default ping timeout time for MATLAB Ethernet axi manager? Ethernet is so delicate that sometimes it can fail to ping quickly. But unfortunately MATLAB throws a timeout error quickly. Now if you are running a long experiment, and suddenly it gets timed out, it is very bad and sad. Rather we could wait longer for that Ethernet to ping.
So, my question is: is there a way to increase the default ping timeout time for MATLAB Ethernet AXI manager for Xilinx FPGA? If not, can we come up with a workaround?Is there a way to increase the default ping timeout time for MATLAB Ethernet axi manager? Ethernet is so delicate that sometimes it can fail to ping quickly. But unfortunately MATLAB throws a timeout error quickly. Now if you are running a long experiment, and suddenly it gets timed out, it is very bad and sad. Rather we could wait longer for that Ethernet to ping.
So, my question is: is there a way to increase the default ping timeout time for MATLAB Ethernet AXI manager for Xilinx FPGA? If not, can we come up with a workaround? Is there a way to increase the default ping timeout time for MATLAB Ethernet axi manager? Ethernet is so delicate that sometimes it can fail to ping quickly. But unfortunately MATLAB throws a timeout error quickly. Now if you are running a long experiment, and suddenly it gets timed out, it is very bad and sad. Rather we could wait longer for that Ethernet to ping.
So, my question is: is there a way to increase the default ping timeout time for MATLAB Ethernet AXI manager for Xilinx FPGA? If not, can we come up with a workaround? ethernet MATLAB Answers — New Questions
Disable logging to disk from Simulink, during Reinforcement Learning training
I’m using the train function to run a Reinforcement Learning training using a PPO agent, with a rlSimulinkEnv object defining the environment.
Regarding the rlTrainingOptions, I’m using the default option for "SimulationStorageType", which is "memory". So I expect (if I understand correctly) that all the simulation data should be saved to RAM, not to disk, whenever possible. However I noticed that Simulink is actually saving the simulation data into .dmr files stored in my TEMPDIR.
I also tried to disable the Simulink logging to TEMPDIR directly from the Simulink Data Inspector, setting the Record Mode to "View during simulation only". However, as soon as I start the Reinforcement Learning Training, the simulation data are still saved as .dmr files in my TEMPDIR.
Is there a way to actually avoid saving .dmr files to TEMPDIR when training in a Simulink environment, and instead using only RAM to store the simulation data as long as the Matlab session is active?
I’m using version R2024aI’m using the train function to run a Reinforcement Learning training using a PPO agent, with a rlSimulinkEnv object defining the environment.
Regarding the rlTrainingOptions, I’m using the default option for "SimulationStorageType", which is "memory". So I expect (if I understand correctly) that all the simulation data should be saved to RAM, not to disk, whenever possible. However I noticed that Simulink is actually saving the simulation data into .dmr files stored in my TEMPDIR.
I also tried to disable the Simulink logging to TEMPDIR directly from the Simulink Data Inspector, setting the Record Mode to "View during simulation only". However, as soon as I start the Reinforcement Learning Training, the simulation data are still saved as .dmr files in my TEMPDIR.
Is there a way to actually avoid saving .dmr files to TEMPDIR when training in a Simulink environment, and instead using only RAM to store the simulation data as long as the Matlab session is active?
I’m using version R2024a I’m using the train function to run a Reinforcement Learning training using a PPO agent, with a rlSimulinkEnv object defining the environment.
Regarding the rlTrainingOptions, I’m using the default option for "SimulationStorageType", which is "memory". So I expect (if I understand correctly) that all the simulation data should be saved to RAM, not to disk, whenever possible. However I noticed that Simulink is actually saving the simulation data into .dmr files stored in my TEMPDIR.
I also tried to disable the Simulink logging to TEMPDIR directly from the Simulink Data Inspector, setting the Record Mode to "View during simulation only". However, as soon as I start the Reinforcement Learning Training, the simulation data are still saved as .dmr files in my TEMPDIR.
Is there a way to actually avoid saving .dmr files to TEMPDIR when training in a Simulink environment, and instead using only RAM to store the simulation data as long as the Matlab session is active?
I’m using version R2024a simulink, data MATLAB Answers — New Questions
Save/Load Simulink Code-Generated State
Is it possible to save/serialize the internal state structs of a Simulink code-generated model, and re-load those on a later initialization?
To prevent X/Y problem, I am using a GRT code-generated Simulink model to simulate a specific plant. My controls are neccessarily but unfortunately outside of Matlab/Simulink. I would like to modify parameters in a control scheme and assess their performance over a specific region of the simulation. Essentially like in a video game, you may fail some challenge and you are restarted at some checkpoint.
I have tried using a reusable function, and then use the tool ‘cser’ to serialize the main model struct, however it quickly gets confused with the vast number of types pointing to other types. Additionally, some of the structs contain pointers, so I can’t simply write the memory of the struct to a file.Is it possible to save/serialize the internal state structs of a Simulink code-generated model, and re-load those on a later initialization?
To prevent X/Y problem, I am using a GRT code-generated Simulink model to simulate a specific plant. My controls are neccessarily but unfortunately outside of Matlab/Simulink. I would like to modify parameters in a control scheme and assess their performance over a specific region of the simulation. Essentially like in a video game, you may fail some challenge and you are restarted at some checkpoint.
I have tried using a reusable function, and then use the tool ‘cser’ to serialize the main model struct, however it quickly gets confused with the vast number of types pointing to other types. Additionally, some of the structs contain pointers, so I can’t simply write the memory of the struct to a file. Is it possible to save/serialize the internal state structs of a Simulink code-generated model, and re-load those on a later initialization?
To prevent X/Y problem, I am using a GRT code-generated Simulink model to simulate a specific plant. My controls are neccessarily but unfortunately outside of Matlab/Simulink. I would like to modify parameters in a control scheme and assess their performance over a specific region of the simulation. Essentially like in a video game, you may fail some challenge and you are restarted at some checkpoint.
I have tried using a reusable function, and then use the tool ‘cser’ to serialize the main model struct, however it quickly gets confused with the vast number of types pointing to other types. Additionally, some of the structs contain pointers, so I can’t simply write the memory of the struct to a file. code generation, simulink, simulation, serialization MATLAB Answers — New Questions
