K-SVD algorithm and OMP algorithm classic matlab program
2018-06-22
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K-SVD algorithm and OMP algorithm classical matlab program. K-SVD is a Classical Dictionary training algorithm. According to the principle of minimum error, SVD is used to decompose the error term. The decomposition term with minimum error is selected as the updated dictionary atom and corresponding atomic coefficient, and the optimized solution is obtained through continuous iteration. K-SVD algorithm [1] & nbsp; & nbsp; was proposed by Michael Aharon and Michael Elad of Israel Institute of technology in 2006. It is a very classic dictionary training algorithm, and has achieved good training effect. The purpose is to solve the following matrix equations:
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