Author: PuTI
Unable to attach add_exec_event_listener to a block when using Simulink Compiler
I am trying to get real-time data from simulink model (rtl-sdr receiver) and display it on gui, so I am using `add_exec_event_listener` in Simulink model callback as written here: https://www.mathworks.com/matlabcentral/answers/446302-how-do-i-update-a-gui-designed-in-app-designer-with-data-from-a-running-simulink-model
Interaction with model based on Simulink Compiler functions, e.g. creation a SimulationInput object and simulink.compiler.configureForDeployment.
The problem is that I get an error when the line below is executed:
out=sim(in)
Full text of an error:
Error evaluating ‘StartFcn’ callback of block_diagram ‘gsmAdGui2’.
Callback string is ‘blk = ‘gsmAdGui2/Gain’;
event = ‘PostOutputs’;
listener = @(app, event) updateGUI(hApp);
h = add_exec_event_listener(blk, event, listener);
Caused by:
Error using Simulink.Simulation.internal.DesktopSimHelper
Adding a listener for a block method execution event for ‘gsmAdGui2/Gain’ is not supported. Listeners can be added only when block diagram is executing.
I don’t understand what should I do to correctly attach the listener to a gain block (because it cannot be attached directly to a rtl-sdr). Thank for any help.
Here is main callback function:
function StartButtonPushed(app, event)
app.StartButton.Enable = ‘off’;
app.StopButton.Enable = ‘on’;
app.SamplingRate=app.SampRateEditField.Value;
%Create a SimulationInput object for this model
in=Simulink.SimulationInput(app.modelName);
in=in.setModelParameter(‘StartTime’,’0.01′,’StopTime’, num2str(app.StopTimeEditField.Value));
in = in.setVariable(‘sdrGain’, app.GainEditField.Value);
in = in.setVariable(‘fc’, app.CenterFreqEditField.Value);
in = in.setVariable(‘sampRate’, app.SamplingRate);
in.applyToModel;
in=simulink.compiler.configureForDeployment(in);
out=sim(in);%запуск симуляции
app.StartButton.Enable = ‘on’;
app.StopButton.Enable = ‘off’;
end
Here is updateGUI function that receives real-time data from model:
function updateGUI(app, varargin) %plots fft of received 2048 samples per frame iq stream
% Create an object that gets the run-time value of the specified block
rto = get_param([bdroot,’/Gain’],’RuntimeObject’);
% Update the GUI accordingly
currentTime = rto.CurrentTime;
app.SimTime.Text = num2str(currentTime);
sdrData = rto.InputPort(1).Data;
sdrData=sdrData.*app.W; % hamming window
sdrFft = fftshift(fft(sdrData));
sdrFft=20*log10((abs(sdrFft))/2048);
plot(app.UIAxes, app.freqvec, sdrFft,’b’);
end
Here is model InitFcn: hApp = sdrAdGui8 %name of an app
Here is model StartFcn:
blk = ‘gsmAdGui2/Gain’; %block to listen
event = ‘PostOutputs’;
listener = @(app, event) updateGUI(hApp);
h = add_exec_event_listener(blk, event, listener);I am trying to get real-time data from simulink model (rtl-sdr receiver) and display it on gui, so I am using `add_exec_event_listener` in Simulink model callback as written here: https://www.mathworks.com/matlabcentral/answers/446302-how-do-i-update-a-gui-designed-in-app-designer-with-data-from-a-running-simulink-model
Interaction with model based on Simulink Compiler functions, e.g. creation a SimulationInput object and simulink.compiler.configureForDeployment.
The problem is that I get an error when the line below is executed:
out=sim(in)
Full text of an error:
Error evaluating ‘StartFcn’ callback of block_diagram ‘gsmAdGui2’.
Callback string is ‘blk = ‘gsmAdGui2/Gain’;
event = ‘PostOutputs’;
listener = @(app, event) updateGUI(hApp);
h = add_exec_event_listener(blk, event, listener);
Caused by:
Error using Simulink.Simulation.internal.DesktopSimHelper
Adding a listener for a block method execution event for ‘gsmAdGui2/Gain’ is not supported. Listeners can be added only when block diagram is executing.
I don’t understand what should I do to correctly attach the listener to a gain block (because it cannot be attached directly to a rtl-sdr). Thank for any help.
Here is main callback function:
function StartButtonPushed(app, event)
app.StartButton.Enable = ‘off’;
app.StopButton.Enable = ‘on’;
app.SamplingRate=app.SampRateEditField.Value;
%Create a SimulationInput object for this model
in=Simulink.SimulationInput(app.modelName);
in=in.setModelParameter(‘StartTime’,’0.01′,’StopTime’, num2str(app.StopTimeEditField.Value));
in = in.setVariable(‘sdrGain’, app.GainEditField.Value);
in = in.setVariable(‘fc’, app.CenterFreqEditField.Value);
in = in.setVariable(‘sampRate’, app.SamplingRate);
in.applyToModel;
in=simulink.compiler.configureForDeployment(in);
out=sim(in);%запуск симуляции
app.StartButton.Enable = ‘on’;
app.StopButton.Enable = ‘off’;
end
Here is updateGUI function that receives real-time data from model:
function updateGUI(app, varargin) %plots fft of received 2048 samples per frame iq stream
% Create an object that gets the run-time value of the specified block
rto = get_param([bdroot,’/Gain’],’RuntimeObject’);
% Update the GUI accordingly
currentTime = rto.CurrentTime;
app.SimTime.Text = num2str(currentTime);
sdrData = rto.InputPort(1).Data;
sdrData=sdrData.*app.W; % hamming window
sdrFft = fftshift(fft(sdrData));
sdrFft=20*log10((abs(sdrFft))/2048);
plot(app.UIAxes, app.freqvec, sdrFft,’b’);
end
Here is model InitFcn: hApp = sdrAdGui8 %name of an app
Here is model StartFcn:
blk = ‘gsmAdGui2/Gain’; %block to listen
event = ‘PostOutputs’;
listener = @(app, event) updateGUI(hApp);
h = add_exec_event_listener(blk, event, listener); I am trying to get real-time data from simulink model (rtl-sdr receiver) and display it on gui, so I am using `add_exec_event_listener` in Simulink model callback as written here: https://www.mathworks.com/matlabcentral/answers/446302-how-do-i-update-a-gui-designed-in-app-designer-with-data-from-a-running-simulink-model
Interaction with model based on Simulink Compiler functions, e.g. creation a SimulationInput object and simulink.compiler.configureForDeployment.
The problem is that I get an error when the line below is executed:
out=sim(in)
Full text of an error:
Error evaluating ‘StartFcn’ callback of block_diagram ‘gsmAdGui2’.
Callback string is ‘blk = ‘gsmAdGui2/Gain’;
event = ‘PostOutputs’;
listener = @(app, event) updateGUI(hApp);
h = add_exec_event_listener(blk, event, listener);
Caused by:
Error using Simulink.Simulation.internal.DesktopSimHelper
Adding a listener for a block method execution event for ‘gsmAdGui2/Gain’ is not supported. Listeners can be added only when block diagram is executing.
I don’t understand what should I do to correctly attach the listener to a gain block (because it cannot be attached directly to a rtl-sdr). Thank for any help.
Here is main callback function:
function StartButtonPushed(app, event)
app.StartButton.Enable = ‘off’;
app.StopButton.Enable = ‘on’;
app.SamplingRate=app.SampRateEditField.Value;
%Create a SimulationInput object for this model
in=Simulink.SimulationInput(app.modelName);
in=in.setModelParameter(‘StartTime’,’0.01′,’StopTime’, num2str(app.StopTimeEditField.Value));
in = in.setVariable(‘sdrGain’, app.GainEditField.Value);
in = in.setVariable(‘fc’, app.CenterFreqEditField.Value);
in = in.setVariable(‘sampRate’, app.SamplingRate);
in.applyToModel;
in=simulink.compiler.configureForDeployment(in);
out=sim(in);%запуск симуляции
app.StartButton.Enable = ‘on’;
app.StopButton.Enable = ‘off’;
end
Here is updateGUI function that receives real-time data from model:
function updateGUI(app, varargin) %plots fft of received 2048 samples per frame iq stream
% Create an object that gets the run-time value of the specified block
rto = get_param([bdroot,’/Gain’],’RuntimeObject’);
% Update the GUI accordingly
currentTime = rto.CurrentTime;
app.SimTime.Text = num2str(currentTime);
sdrData = rto.InputPort(1).Data;
sdrData=sdrData.*app.W; % hamming window
sdrFft = fftshift(fft(sdrData));
sdrFft=20*log10((abs(sdrFft))/2048);
plot(app.UIAxes, app.freqvec, sdrFft,’b’);
end
Here is model InitFcn: hApp = sdrAdGui8 %name of an app
Here is model StartFcn:
blk = ‘gsmAdGui2/Gain’; %block to listen
event = ‘PostOutputs’;
listener = @(app, event) updateGUI(hApp);
h = add_exec_event_listener(blk, event, listener); app designer, gui, event listener, simulink compiler MATLAB Answers — New Questions
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Hi,
I am trying to open Model setting but it gives below errors.Hi,
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Its in the form of tree.Hallo Everyone,
I needed a help in creating a data structure. I am new to this platform. it would be helpful if someones guides me through giving information or an example. I have a set of data’s in an excel sheet. I need to create a data structure of it. I have set of turbines(1-5) each are having its own respective towers(1-10) having some field names. If i need to add a field name in any of my tower it should update the turbine too. How can i create a data structure for it. Thank you.
Its in the form of tree. Hallo Everyone,
I needed a help in creating a data structure. I am new to this platform. it would be helpful if someones guides me through giving information or an example. I have a set of data’s in an excel sheet. I need to create a data structure of it. I have set of turbines(1-5) each are having its own respective towers(1-10) having some field names. If i need to add a field name in any of my tower it should update the turbine too. How can i create a data structure for it. Thank you.
Its in the form of tree. data structure, structures MATLAB Answers — New Questions
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Hi,
I try to convert a large blf file into a .mat file. With small blf files it works fine, but with large files the function j1939ParameterGroupTimetable() runs "Out of memory". See my code below:
blf_data = blfread(blf_file_path, can_channel);
dbc_file = canDatabase(dbc_path);
j1939PGTimetable = j1939ParameterGroupTimetable(blf_data, dbc_file);
I tried to fix this with tall(), but j1939ParameterGroupTimetable() "does not support tall arrays."
How can I solve this?Hi,
I try to convert a large blf file into a .mat file. With small blf files it works fine, but with large files the function j1939ParameterGroupTimetable() runs "Out of memory". See my code below:
blf_data = blfread(blf_file_path, can_channel);
dbc_file = canDatabase(dbc_path);
j1939PGTimetable = j1939ParameterGroupTimetable(blf_data, dbc_file);
I tried to fix this with tall(), but j1939ParameterGroupTimetable() "does not support tall arrays."
How can I solve this? Hi,
I try to convert a large blf file into a .mat file. With small blf files it works fine, but with large files the function j1939ParameterGroupTimetable() runs "Out of memory". See my code below:
blf_data = blfread(blf_file_path, can_channel);
dbc_file = canDatabase(dbc_path);
j1939PGTimetable = j1939ParameterGroupTimetable(blf_data, dbc_file);
I tried to fix this with tall(), but j1939ParameterGroupTimetable() "does not support tall arrays."
How can I solve this? can, blf file, data conversion MATLAB Answers — New Questions
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offsets = [ 0 1; -1 1; -1 0; -1 -1];
T(i).energy = 0; %initial energy of image (T(i)) is 0
Imag = T(i).data; %Reading image into Imag
glcm = graycomatrix(Imag,’Of’,offsets); %calculating gray level co-occurrence matrix
glcm
[r c] = size(glcm);
for ctr=1:1:r
for ctr2=1:1:c
T(i).energy = T(i).energy+(glcm(ctr,ctr)).^2;
end
end
fprintf(‘energy is %linn’,T(i).energy);I am trying to find energy of an image using co occurrence matrix. Is this code correct? Is the method of calculating gray level co occurrence matrix correct?
offsets = [ 0 1; -1 1; -1 0; -1 -1];
T(i).energy = 0; %initial energy of image (T(i)) is 0
Imag = T(i).data; %Reading image into Imag
glcm = graycomatrix(Imag,’Of’,offsets); %calculating gray level co-occurrence matrix
glcm
[r c] = size(glcm);
for ctr=1:1:r
for ctr2=1:1:c
T(i).energy = T(i).energy+(glcm(ctr,ctr)).^2;
end
end
fprintf(‘energy is %linn’,T(i).energy); I am trying to find energy of an image using co occurrence matrix. Is this code correct? Is the method of calculating gray level co occurrence matrix correct?
offsets = [ 0 1; -1 1; -1 0; -1 -1];
T(i).energy = 0; %initial energy of image (T(i)) is 0
Imag = T(i).data; %Reading image into Imag
glcm = graycomatrix(Imag,’Of’,offsets); %calculating gray level co-occurrence matrix
glcm
[r c] = size(glcm);
for ctr=1:1:r
for ctr2=1:1:c
T(i).energy = T(i).energy+(glcm(ctr,ctr)).^2;
end
end
fprintf(‘energy is %linn’,T(i).energy); regards MATLAB Answers — New Questions
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I used the fuzzy logic controller with 2 inputs.But there are many warnings about its range.
Please see the pictures.
I also used the Saturation to limit the value……
A more incomprehensible question was that after changing the setting "out of range input value" from "warning" to "error" ,No error occurred!!
Please help me to solve these problems.
Thank you for your reply!I used the fuzzy logic controller with 2 inputs.But there are many warnings about its range.
Please see the pictures.
I also used the Saturation to limit the value……
A more incomprehensible question was that after changing the setting "out of range input value" from "warning" to "error" ,No error occurred!!
Please help me to solve these problems.
Thank you for your reply! I used the fuzzy logic controller with 2 inputs.But there are many warnings about its range.
Please see the pictures.
I also used the Saturation to limit the value……
A more incomprehensible question was that after changing the setting "out of range input value" from "warning" to "error" ,No error occurred!!
Please help me to solve these problems.
Thank you for your reply! simulink, fuzzy MATLAB Answers — New Questions
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The specifications of software, platform & PC are:
Matlab R2015a. Windows 7 64-bit, Core i5 1st Gen., 4 GB RAM, 250 of hard Disk SpaceI have a satellite data values stored in a .dat file of almost 900 MB. The data is in the form of int8. I want to read as much data as possible from the start and then pass it in a function argument and then save the new signal in a separate file. I have used importdata but it cant work and unable to read large data file. Is there any other way which I can use to read data in chunks and put them together afterwards? Anyone please help me out. Its very important that I read this data.
The specifications of software, platform & PC are:
Matlab R2015a. Windows 7 64-bit, Core i5 1st Gen., 4 GB RAM, 250 of hard Disk Space I have a satellite data values stored in a .dat file of almost 900 MB. The data is in the form of int8. I want to read as much data as possible from the start and then pass it in a function argument and then save the new signal in a separate file. I have used importdata but it cant work and unable to read large data file. Is there any other way which I can use to read data in chunks and put them together afterwards? Anyone please help me out. Its very important that I read this data.
The specifications of software, platform & PC are:
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xt = e^-3t
ht= -5e^-2t +6e^-3t
so ofcourse these would be used to plot yt which is xt*ht in other words xt conv ht. Thanks for your assistance!!xt = e^-3t
ht= -5e^-2t +6e^-3t
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Failed to initialize symbolic preferences.
> In syms (line 195)
In fm_build (line 96)
In fm_comp (line 66)
Cannot rewrite file "fm_ncomp.m". Check file permissions and content.
Did anyone know the reason and could please help me?I am using User Defined Models (UDMs) in PSAT to create a new type component . In order to deepen the understanding, I used PSAT examples for modeling. When I click on ‘build’ button，it displays:
Failed to initialize symbolic preferences.
> In syms (line 195)
In fm_build (line 96)
In fm_comp (line 66)
Cannot rewrite file "fm_ncomp.m". Check file permissions and content.
Did anyone know the reason and could please help me? I am using User Defined Models (UDMs) in PSAT to create a new type component . In order to deepen the understanding, I used PSAT examples for modeling. When I click on ‘build’ button，it displays:
Failed to initialize symbolic preferences.
> In syms (line 195)
In fm_build (line 96)
In fm_comp (line 66)
Cannot rewrite file "fm_ncomp.m". Check file permissions and content.
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From what I understand I cannot use ANOVA as the measures are not independent since time is a key factor.
Now I tried to prepare the data for a repeated anova anyalysis to essentially compare the timecourse of the two groups.
However,I’m not sure how to prepare the data for ranova.
Here some example data structure
matrix1 group1: colums = timepoints (1to10) , rows= subjects (N=7)
matrix2 group2 colums = timepoints (1to10), rows= subjects (N=5)
For some subjects a measurement on a given day is missing, is it fine to incle NaNs in the data?
Could anybody give an example of how to prepare the data for such a simple 2 condition comparison?
Unfortunately I could not find an example.I would like to compare two groups that we subjected to repeated measure across different days.
From what I understand I cannot use ANOVA as the measures are not independent since time is a key factor.
Now I tried to prepare the data for a repeated anova anyalysis to essentially compare the timecourse of the two groups.
However,I’m not sure how to prepare the data for ranova.
Here some example data structure
matrix1 group1: colums = timepoints (1to10) , rows= subjects (N=7)
matrix2 group2 colums = timepoints (1to10), rows= subjects (N=5)
For some subjects a measurement on a given day is missing, is it fine to incle NaNs in the data?
Could anybody give an example of how to prepare the data for such a simple 2 condition comparison?
Unfortunately I could not find an example. I would like to compare two groups that we subjected to repeated measure across different days.
From what I understand I cannot use ANOVA as the measures are not independent since time is a key factor.
Now I tried to prepare the data for a repeated anova anyalysis to essentially compare the timecourse of the two groups.
However,I’m not sure how to prepare the data for ranova.
Here some example data structure
matrix1 group1: colums = timepoints (1to10) , rows= subjects (N=7)
matrix2 group2 colums = timepoints (1to10), rows= subjects (N=5)
For some subjects a measurement on a given day is missing, is it fine to incle NaNs in the data?
Could anybody give an example of how to prepare the data for such a simple 2 condition comparison?
Unfortunately I could not find an example. data preparation for ranova MATLAB Answers — New Questions
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>> web(fullfile(docroot, ‘stats/datasample.html’))
For example, if I want to sample from a 500 element vector in samples of 20, but do that 30 times, I’ve got to create a loop from i=1:30 with "datasample" inside that loop.How can I create "n" samples of size "k" using "datasample" without needing a "for" loop?
To access detailed documentation on the "datasample" function, execute the following command in MATLAB R2020b:
>> web(fullfile(docroot, ‘stats/datasample.html’))
For example, if I want to sample from a 500 element vector in samples of 20, but do that 30 times, I’ve got to create a loop from i=1:30 with "datasample" inside that loop. How can I create "n" samples of size "k" using "datasample" without needing a "for" loop?
To access detailed documentation on the "datasample" function, execute the following command in MATLAB R2020b:
>> web(fullfile(docroot, ‘stats/datasample.html’))
For example, if I want to sample from a 500 element vector in samples of 20, but do that 30 times, I’ve got to create a loop from i=1:30 with "datasample" inside that loop. MATLAB Answers — New Questions
How do I save a trained deep learning network as plain text?
I have trained a neural network and would like to save it as a text file. How do I save a trained deep learning network as plain text? I am willing to write a script to read and write layers to text but would prefer to use an existing solution if one is available.I have trained a neural network and would like to save it as a text file. How do I save a trained deep learning network as plain text? I am willing to write a script to read and write layers to text but would prefer to use an existing solution if one is available. I have trained a neural network and would like to save it as a text file. How do I save a trained deep learning network as plain text? I am willing to write a script to read and write layers to text but would prefer to use an existing solution if one is available. save, text, deep, learning, neural, network MATLAB Answers — New Questions
