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In the context of signal processing and sparse representation of signals, there is a topic called dictionary learning which is basically about how to's of the selection of basis functions used for sparse representation. I am looking for sources explaining the topic with a section on dictionary learning algorithms and probably a comparison made among them.

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The best resource, in my opinion, is eDx - Sparse Representations in Signal and Image Processing: Fundamentals by Michael Elad.

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