Modulation classification dataset creation error

Hello everybody.

I have been trying to create a signal dataset with controlled parameters for modulation classification experiments, and for that I found the code on this page easy to understand. Unfortunately, it does not work when I try it.

Up to a certain point, of course, I get no errors. But when I try to run this body of code:

channelInfo = info(channel);
frameStore = helperModClassFrameStore(...
  numFramesPerModType*numModulationTypes,spf,modulationTypes);
transDelay = 50;
for modType = 1:numModulationTypes
  fprintf('%s - Generating %s frames\n', ...
    datestr(toc/86400,'HH:MM:SS'), modulationTypes(modType))
  numSymbols = (numFramesPerModType / sps);
  dataSrc = getSource(modulationTypes(modType), sps, 2*spf, fs);
  modulator = getModulator(modulationTypes(modType), sps, fs);
  if contains(char(modulationTypes(modType)), {'B-FM','DSB-AM','SSB-AM'})
    % Analog modulation types use a center frequency of 100 MHz
    channel.CenterFrequency = 100e6;
  else
    % Digital modulation types use a center frequency of 900 MHz
    channel.CenterFrequency = 900e6;
  end
  
  for p=1:numFramesPerModType
    % Generate random data
    x = dataSrc();
    
    % Modulate
    y = modulator(x);
    
    % Pass through independent channels
    rxSamples = channel(y);
    
    % Remove transients from the beginning, trim to size, and normalize
    frame = helperModClassFrameGenerator(rxSamples, spf, spf, transDelay, sps);
    
    % Add to frame store
    add(frameStore, frame, modulationTypes(modType));
  end
end

I get the following message:

Let it be noted that I have installed all three necessary toolboxes, and Simulink is running beforehand. I also tried converting the "classes" variable to string instead of categorical, but that did not solve the problem.

Any help will be appreciated. Thank you.

Answer 1

[Chidvi Modala]

It seems like helper functions are missing in your code. You can refer to

https://www.mathworks.com/help/deeplearning/examples/modulation-classification-with-deep-learning.html#ModulationClassificationWithDeepLearningExample-8

[Anas Alarabi]

In the same body of code viewed here I've an error in helperModClassFrameStore function

"Invalid default value for property 'OutputFormat' in class

'helperModClassFrameStore':

Unable to resolve the name FrameStoreOutputFormat.IQAsRows."