In this file a synthetic test of the K-SVD algorithm is performed. First, a random dictionary with normalized columns is being generated, and then a set of data signals, each as a linear combination of 3 dictionary element is created, with noise level of 20SNR. this set is given as input to the K-SVD algorithm.

KSVD dictionary learning Matlab.doc

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