Evaluation of K-SVD embedded with modified l1-norm sparse representation algorithm

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Evaluation of K-SVD embedded with modified l1-norm sparse representation algorithm

© 2017, Springer Nature Singapore Pte Ltd. The K-SVD algorithm aims to find an adaptive dictionary for a set of signals by using the sparse representation optimization and constrained singular value decomposition. In this paper, firstly, the original K-SVD algorithm, as well as some sparse represent...

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Bibliographic Details
Main Authors:	Wang, M., Liu, J., Ma, S., Liu, Wan-Quan
Format:	Conference Paper
Published:	2017
Online Access:	http://hdl.handle.net/20.500.11937/62949

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