Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory
If a signal is known to have a sparse representation with respect to a frame, it can be estimated from a noise-corrupted observation by finding the best sparse approximation to . Removing noise in this manner depends on the frame efficiently representing the signal while it inefficiently represents...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2011
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| Online Access: | http://hdl.handle.net/1721.1/67336 |