You can build up any function by scaling and adding basis functions, but is there an analogous way to represent things as combinations of phase offsets of something? I am working with spectrograms, but encoding details favor a wrap-around value instead of just amplitude.
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wavelet image compression usually does waaay better in terms of compression than like, fft based jpg (iirc like 10x) on real images, in think because of the highly nonrandom stats on real images, but this is only based on impressions not deep knowledge of the techniques!
Thanks. Twitter will use this to make your timeline better. UndoUndo
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