I am using the Wavelet design and analysis package for signal processing, specifically the Wavelet 1-D package. The GUI makes it very easy to use and I can break my signal down easily into approximations and details, and can export it easily to the workspace and use it from there.
My issue is, I need to automate the process, so Im trying to write a script that does the whole thing for me, using the swt() function.
Is that the right approach?
For example, in the GUI, I select the level to be 7 and I use db 10.
My code is then
[approximations, details] = swt(zoom_proc, wavelet_level, 'db10');
where zoom_proc is the signal I am using (it's length is correct for swt)
But, the data is completely different from that which I get in the GUI?
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I managed to sort this out. You cannot use swt() to recreate the results from the GUI as I mentioned. You need to use wavedec() and wrcoef(). This is my code: (zoom_proc is the data set)
[C, L] = wavedec(zoom_proc, wavelet_level, 'db10');
approximations = zeros(wavelet_level, zoom_array_length); details = zeros(wavelet_level, zoom_array_length);
for i = 1:1:wavelet_level approximations(i, :) = wrcoef('a',C,L,'db10', i); details(i, :) = wrcoef('d',C,L,'db10', i); end
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