Evaluation of K-SVD with different embedded sparse representation algorithms

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Evaluation of K-SVD with different embedded sparse representation algorithms

The K-SVD algorithm is a powerful tool in finding an adaptive dictionary for a set of signals via using the sparse representation optimization and constrained singular value decomposition. In this paper, we first review the original K-SVD algorithm as well as some sparse representation algorithms in...

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Bibliographic Details
Main Authors:	Liu, J., Liu, Wan-Quan, Li, Q., Ma, S., Chen, G.
Format:	Conference Paper
Published:	IEEE 2016
Online Access:	http://hdl.handle.net/20.500.11937/31792

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