I have set up two N210 USRPs to transmit/receive simple FSK modulated signals. My code is very similar to the examples in the documentation (https://se.mathworks.com/help/supportpkg/usrpradio/ug/comm.sdrutransmitter-system-object.html and https://se.mathworks.com/help/supportpkg/usrpradio/ug/comm.sdrureceiver-system-object.html) but for the different modulation approach. The two USRPs are connected to two separate computers. One runs a script to repeatedly transmit my signal while the other runs a script to repeatedly scan for a received signal, which it then demodulates and returns to the user. Unfortunately, the received and demodulated signal does not resemble the transmitted signal at all.
I have experimented with different antennas, different gains and different centre frequencies.
What could possibly be causing this?
Transmitter code:
% Message
barkerCode = [1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0]’;
message = ones(20, 1);
frame = [barkerCode; message];

% Modulation
H = comm.FSKModulator(‘ModulationOrder’, 2);
messageIQ = H(frame);

% Transmitter
center_frequency = 434e6;
gain = 30;
radio = comm.SDRuTransmitter(…
‘Platform’, ‘N200/N210/USRP2’, …
‘IPAddress’, ‘192.168.10.2’, …
‘CenterFrequency’, center_frequency, …
‘Gain’, gain);

% Transmit
fprintf(‘Transmitting now…n’)
stop = 1000;
i = 0;
while i < stop
underrun = radio(messageIQ);
if (underrun ~= 0)
fprintf(‘Iteration: %i, underrun: %in’, i, underrun);
end
i = i + 1;
end
fprintf(‘Donen’)
release(radio)
Receiver code:
% Radio
center_frequency = 434e6;
gain = 30;
radio = comm.SDRuReceiver(…
‘Platform’, ‘N200/N210/USRP2’, …
‘IPAddress’, ‘192.168.10.2’, …
‘CenterFrequency’, center_frequency, …
‘Gain’, gain);

% Demodulator
D = comm.FSKDemodulator(‘ModulationOrder’, 2);

% Receive signal
len = 0;
while len == 0
[rcvdSignal, len] = step(radio);
demodSignal = D(rcvdSignal);
end
plot(debudSignal);I have set up two N210 USRPs to transmit/receive simple FSK modulated signals. My code is very similar to the examples in the documentation (https://se.mathworks.com/help/supportpkg/usrpradio/ug/comm.sdrutransmitter-system-object.html and https://se.mathworks.com/help/supportpkg/usrpradio/ug/comm.sdrureceiver-system-object.html) but for the different modulation approach. The two USRPs are connected to two separate computers. One runs a script to repeatedly transmit my signal while the other runs a script to repeatedly scan for a received signal, which it then demodulates and returns to the user. Unfortunately, the received and demodulated signal does not resemble the transmitted signal at all.
I have experimented with different antennas, different gains and different centre frequencies.
What could possibly be causing this?
Transmitter code:
% Message
barkerCode = [1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0]’;
message = ones(20, 1);
frame = [barkerCode; message];

% Modulation
H = comm.FSKModulator(‘ModulationOrder’, 2);
messageIQ = H(frame);

% Transmitter
center_frequency = 434e6;
gain = 30;
radio = comm.SDRuTransmitter(…
‘Platform’, ‘N200/N210/USRP2’, …
‘IPAddress’, ‘192.168.10.2’, …
‘CenterFrequency’, center_frequency, …
‘Gain’, gain);

% Transmit
fprintf(‘Transmitting now…n’)
stop = 1000;
i = 0;
while i < stop
underrun = radio(messageIQ);
if (underrun ~= 0)
fprintf(‘Iteration: %i, underrun: %in’, i, underrun);
end
i = i + 1;
end
fprintf(‘Donen’)
release(radio)
Receiver code:
% Radio
center_frequency = 434e6;
gain = 30;
radio = comm.SDRuReceiver(…
‘Platform’, ‘N200/N210/USRP2’, …
‘IPAddress’, ‘192.168.10.2’, …
‘CenterFrequency’, center_frequency, …
‘Gain’, gain);

% Demodulator
D = comm.FSKDemodulator(‘ModulationOrder’, 2);

% Receive signal
len = 0;
while len == 0
[rcvdSignal, len] = step(radio);
demodSignal = D(rcvdSignal);
end
plot(debudSignal); I have set up two N210 USRPs to transmit/receive simple FSK modulated signals. My code is very similar to the examples in the documentation (https://se.mathworks.com/help/supportpkg/usrpradio/ug/comm.sdrutransmitter-system-object.html and https://se.mathworks.com/help/supportpkg/usrpradio/ug/comm.sdrureceiver-system-object.html) but for the different modulation approach. The two USRPs are connected to two separate computers. One runs a script to repeatedly transmit my signal while the other runs a script to repeatedly scan for a received signal, which it then demodulates and returns to the user. Unfortunately, the received and demodulated signal does not resemble the transmitted signal at all.
I have experimented with different antennas, different gains and different centre frequencies.
What could possibly be causing this?
Transmitter code:
% Message
barkerCode = [1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0]’;
message = ones(20, 1);
frame = [barkerCode; message];

% Modulation
H = comm.FSKModulator(‘ModulationOrder’, 2);
messageIQ = H(frame);

% Transmitter
center_frequency = 434e6;
gain = 30;
radio = comm.SDRuTransmitter(…
‘Platform’, ‘N200/N210/USRP2’, …
‘IPAddress’, ‘192.168.10.2’, …
‘CenterFrequency’, center_frequency, …
‘Gain’, gain);

% Transmit
fprintf(‘Transmitting now…n’)
stop = 1000;
i = 0;
while i < stop
underrun = radio(messageIQ);
if (underrun ~= 0)
fprintf(‘Iteration: %i, underrun: %in’, i, underrun);
end
i = i + 1;
end
fprintf(‘Donen’)
release(radio)
Receiver code:
% Radio
center_frequency = 434e6;
gain = 30;
radio = comm.SDRuReceiver(…
‘Platform’, ‘N200/N210/USRP2’, …
‘IPAddress’, ‘192.168.10.2’, …
‘CenterFrequency’, center_frequency, …
‘Gain’, gain);

% Demodulator
D = comm.FSKDemodulator(‘ModulationOrder’, 2);

% Receive signal
len = 0;
while len == 0
[rcvdSignal, len] = step(radio);
demodSignal = D(rcvdSignal);
end
plot(debudSignal); usrp, communications toolbox support package, n210 MATLAB Answers — New Questions

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I have a system of nonlinear differential equation that follows some patter, for example . I could solve for some small . I want to solve it for . Is there any way to do that or we can tonly type manually. Is it possible to use loops in function environment to solve such cases? Thank you!I have a system of nonlinear differential equation that follows some patter, for example . I could solve for some small . I want to solve it for . Is there any way to do that or we can tonly type manually. Is it possible to use loops in function environment to solve such cases? Thank you! I have a system of nonlinear differential equation that follows some patter, for example . I could solve for some small . I want to solve it for . Is there any way to do that or we can tonly type manually. Is it possible to use loops in function environment to solve such cases? Thank you! differential equations MATLAB Answers — New Questions

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Hello together,
I get an error with stackedplot, when changing position (which works always the first time) and plotting then again, adding new variables. Without the position change, there is no error and I can plot on.
That’s the code I use. Without the "Position" line it works fine all the time. With the position change I get an error (below code).
app.Logs(app.Log).Stack{1} = stackedplot(app.Logs(app.Log).Table, app.Logs(app.Log).ToPlot,’Parent’,app.StackedTab);
for e=1:+1:height(app.Logs(app.Log).Stack{1}.DisplayLabels)
emptyLabels(e,1) = ""; % Create empty string for label
end
if app.Logs(app.Log).Plots > 0
app.Logs(app.Log).Stack{1}.DisplayLabels = emptyLabels; % "Delete labels"
app.Logs(app.Log).Stack{1}.Position = [0.05,0.05,0.90,0.90]; % Get rid of the broad margin
end
Thats the error:
Error using stackedplot (line 100)
Brace indexing is not supported for variables of this type.
Error in LogReader/DataButtonPress (line 141)
app.Logs(app.Log).Stack{1} =
stackedplot(app.Logs(app.Log).Table,
app.Logs(app.Log).ToPlot,’Parent’,app.StackedTab);
Error in LogReader>@(varargin)app.DataButtonPress(varargin{:}) (line 336)
app.Logs(app.Log).Variables{2, i}.ValueChangedFcn =
@app.DataButtonPress; %Callback function
Error using matlab.ui.control.internal.controller.ComponentController/executeUserCallback (line 429)
Error while evaluating StateButton PrivateValueChangedFcn.

What am I not understanding? ^^
Thanks in advance!
ChristofHello together,
I get an error with stackedplot, when changing position (which works always the first time) and plotting then again, adding new variables. Without the position change, there is no error and I can plot on.
That’s the code I use. Without the "Position" line it works fine all the time. With the position change I get an error (below code).
app.Logs(app.Log).Stack{1} = stackedplot(app.Logs(app.Log).Table, app.Logs(app.Log).ToPlot,’Parent’,app.StackedTab);
for e=1:+1:height(app.Logs(app.Log).Stack{1}.DisplayLabels)
emptyLabels(e,1) = ""; % Create empty string for label
end
if app.Logs(app.Log).Plots > 0
app.Logs(app.Log).Stack{1}.DisplayLabels = emptyLabels; % "Delete labels"
app.Logs(app.Log).Stack{1}.Position = [0.05,0.05,0.90,0.90]; % Get rid of the broad margin
end
Thats the error:
Error using stackedplot (line 100)
Brace indexing is not supported for variables of this type.
Error in LogReader/DataButtonPress (line 141)
app.Logs(app.Log).Stack{1} =
stackedplot(app.Logs(app.Log).Table,
app.Logs(app.Log).ToPlot,’Parent’,app.StackedTab);
Error in LogReader>@(varargin)app.DataButtonPress(varargin{:}) (line 336)
app.Logs(app.Log).Variables{2, i}.ValueChangedFcn =
@app.DataButtonPress; %Callback function
Error using matlab.ui.control.internal.controller.ComponentController/executeUserCallback (line 429)
Error while evaluating StateButton PrivateValueChangedFcn.

What am I not understanding? ^^
Thanks in advance!
Christof Hello together,
I get an error with stackedplot, when changing position (which works always the first time) and plotting then again, adding new variables. Without the position change, there is no error and I can plot on.
That’s the code I use. Without the "Position" line it works fine all the time. With the position change I get an error (below code).
app.Logs(app.Log).Stack{1} = stackedplot(app.Logs(app.Log).Table, app.Logs(app.Log).ToPlot,’Parent’,app.StackedTab);
for e=1:+1:height(app.Logs(app.Log).Stack{1}.DisplayLabels)
emptyLabels(e,1) = ""; % Create empty string for label
end
if app.Logs(app.Log).Plots > 0
app.Logs(app.Log).Stack{1}.DisplayLabels = emptyLabels; % "Delete labels"
app.Logs(app.Log).Stack{1}.Position = [0.05,0.05,0.90,0.90]; % Get rid of the broad margin
end
Thats the error:
Error using stackedplot (line 100)
Brace indexing is not supported for variables of this type.
Error in LogReader/DataButtonPress (line 141)
app.Logs(app.Log).Stack{1} =
stackedplot(app.Logs(app.Log).Table,
app.Logs(app.Log).ToPlot,’Parent’,app.StackedTab);
Error in LogReader>@(varargin)app.DataButtonPress(varargin{:}) (line 336)
app.Logs(app.Log).Variables{2, i}.ValueChangedFcn =
@app.DataButtonPress; %Callback function
Error using matlab.ui.control.internal.controller.ComponentController/executeUserCallback (line 429)
Error while evaluating StateButton PrivateValueChangedFcn.

What am I not understanding? ^^
Thanks in advance!
Christof stackedplot position MATLAB Answers — New Questions

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I am trying save the table t1 by uisng the suggested table-to-figure mathod. However, the saved pdf remains empty.

t1=table(ones(5));
fig = uifigure(‘Name’,’Numbers’);
t = uitable(fig,’Data’,t1);
exportapp(fig,’Peak_assigments.pdf’)I am trying save the table t1 by uisng the suggested table-to-figure mathod. However, the saved pdf remains empty.

t1=table(ones(5));
fig = uifigure(‘Name’,’Numbers’);
t = uitable(fig,’Data’,t1);
exportapp(fig,’Peak_assigments.pdf’) I am trying save the table t1 by uisng the suggested table-to-figure mathod. However, the saved pdf remains empty.

t1=table(ones(5));
fig = uifigure(‘Name’,’Numbers’);
t = uitable(fig,’Data’,t1);
exportapp(fig,’Peak_assigments.pdf’) uitable, pdf, saveas, exportapp MATLAB Answers — New Questions

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I’ve known about this for a long time, and I’ve ignored it. It’s a curiosity I pick at every time I edit MIMT imcast(), but I’ve never really figured out a good explanation.
IPT im2int16() maps floating point values on the unit interval to values on the interval [-32768 32767]. That seems very simple. The problem is that obvious arithmetic doesn’t give the same result. What’s more curious is that it seems that the only input value that does not map identically is 1/2.
% our input
dx = 3E-5;
x = [0 linspace(0.5-dx,0.5+dx,7) 1].’; % ‘single’ or ‘double’ are the same

% convert it
y1 = im2int16(x); % the curiosity
y2 = int16(double(x)*65535 – 32768); % the obvious
y3 = int16(rescale(x,-32768,32767,’inputmin’,0,’inputmax’,1)); % a third opinion

% compare
[y1 y2 y3]
For what it’s worth, im2double() doesn’t map that 0 back to 1/2. It maps exactly like one would expect.
% map back to float
z1 = im2double(y1(2:8));
z2 = ((double(y2(2:8)) + 32768)/65535 );

% compare error
[z1 z2] – x(2:8)

So I suppose I have three sorts of questions.
How does this happen? I’m assuming this rises naturally from some simple conversion being used, but im2int16() isn’t working in mcode, and I’m not the clever one here.
Do you think this should be expected? Matter of differing conventions? Preference?
Does it really even matter? I’ve been assuming it doesn’t.I’ve known about this for a long time, and I’ve ignored it. It’s a curiosity I pick at every time I edit MIMT imcast(), but I’ve never really figured out a good explanation.
IPT im2int16() maps floating point values on the unit interval to values on the interval [-32768 32767]. That seems very simple. The problem is that obvious arithmetic doesn’t give the same result. What’s more curious is that it seems that the only input value that does not map identically is 1/2.
% our input
dx = 3E-5;
x = [0 linspace(0.5-dx,0.5+dx,7) 1].’; % ‘single’ or ‘double’ are the same

% convert it
y1 = im2int16(x); % the curiosity
y2 = int16(double(x)*65535 – 32768); % the obvious
y3 = int16(rescale(x,-32768,32767,’inputmin’,0,’inputmax’,1)); % a third opinion

% compare
[y1 y2 y3]
For what it’s worth, im2double() doesn’t map that 0 back to 1/2. It maps exactly like one would expect.
% map back to float
z1 = im2double(y1(2:8));
z2 = ((double(y2(2:8)) + 32768)/65535 );

% compare error
[z1 z2] – x(2:8)

So I suppose I have three sorts of questions.
How does this happen? I’m assuming this rises naturally from some simple conversion being used, but im2int16() isn’t working in mcode, and I’m not the clever one here.
Do you think this should be expected? Matter of differing conventions? Preference?
Does it really even matter? I’ve been assuming it doesn’t. I’ve known about this for a long time, and I’ve ignored it. It’s a curiosity I pick at every time I edit MIMT imcast(), but I’ve never really figured out a good explanation.
IPT im2int16() maps floating point values on the unit interval to values on the interval [-32768 32767]. That seems very simple. The problem is that obvious arithmetic doesn’t give the same result. What’s more curious is that it seems that the only input value that does not map identically is 1/2.
% our input
dx = 3E-5;
x = [0 linspace(0.5-dx,0.5+dx,7) 1].’; % ‘single’ or ‘double’ are the same

% convert it
y1 = im2int16(x); % the curiosity
y2 = int16(double(x)*65535 – 32768); % the obvious
y3 = int16(rescale(x,-32768,32767,’inputmin’,0,’inputmax’,1)); % a third opinion

% compare
[y1 y2 y3]
For what it’s worth, im2double() doesn’t map that 0 back to 1/2. It maps exactly like one would expect.
% map back to float
z1 = im2double(y1(2:8));
z2 = ((double(y2(2:8)) + 32768)/65535 );

% compare error
[z1 z2] – x(2:8)

So I suppose I have three sorts of questions.
How does this happen? I’m assuming this rises naturally from some simple conversion being used, but im2int16() isn’t working in mcode, and I’m not the clever one here.
Do you think this should be expected? Matter of differing conventions? Preference?
Does it really even matter? I’ve been assuming it doesn’t. im2int16 MATLAB Answers — New Questions

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