A fast MDCT implementation using SciPy and FFTs
As usual
pip install mdct
import mdct
spectrum = mdct.mdct(sig)
Also see the docs
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hello Dear Dr. Werner in my research in audio watermarking, I encountered your valuable MCLT python module. but when I apply mclt function to a simple sin wave, its output had three dimensions. my code is as follows:
fs = 100 t =np.arange(0,1,1/fs) f= 3 x = np.sin(2np.pif*t)
spec = mdct.mclt(x) output = mdct.imclt(spec)
x.shape, spec.shape, output.shape
((100,), (512, 3), (100,))
now, my question is what is the difference between any dimensions of the output? and which of them is the MCLT transform of the sin wave?
best regard Mostafa Alaviyan
Hello, thank you for the code. I found that the energy of the input time sequence is not equal to the energy after mdct transformation. Why is it that?
You might consider adding an example such as the one I created, that demonstrates how to use the mdct output to make a spectrogram plot. I made one which offers a comparison of the standard pyplot spectrogram with your stft and mdct methods.
If you're not interested in including this, no worries. Might help someone else though. :-)
I grant permission for you or others to use the merged code with no attribution, or license of any kind.
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