Sources on dictionary learning and related algorithms 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.
The best resource, in my opinion, is eDx - Sparse Representations in Signal and Image Processing: Fundamentals by Michael Elad.