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...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
IEEE
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/31792 |