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Orthogonal Matching Pursuit Algorithm by 仕轩 刘 is a document available to read on EtoBox.

What is Orthogonal Matching Pursuit Algorithm about?

This paper presents a recursive algorithm called Orthogonal Matching Pursuit (OMP) that enhances the Matching Pursuit algorithm by ensuring full backward orthogonality of the residual at each step, leading to improved convergence for function representations using nonorthogonal dictionaries. OMP is shown to converge faster than the original Matching Pursuit algorithm and guarantees optimal approximations using selected subsets of the dictionary. The authors demonstrate the effectiveness of OMP through examp

Author
仕轩 刘
Language
EN