How to do feature extraction using wavelet scattering and then perform neural network classification?

% I want to do feature extraction for signals and then apply ANN classification on them,, can you help please?

Fs = 50; sf = waveletScattering('SignalLength', 4950, 'SamplingFrequency', Fs) ;

s = cell(120,1); parfor j = 1:120; r = featureMatrix(sf, f(j, :)) ; s{j, 1} = r; end

h = cell2mat(s) ; b = cell2table(s) ; c = table2dataset(b);

%the single signal was in one row, but after this it becomes 202rows×10columns, and I can't apply ANN like this Any ideas?

[Mustafa Mustafa]

I can also use a normal for loop