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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Razavi, S.A. Ollila, E. Koivunen, V. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Signal Processing and Acoustics, SMARAD CoE, Aalto University, Espoo, Finland (Razavi, S.A.; Ollila, E.; Koivunen, V.) |
| Abstract | The problem of sparse signal reconstruction in the presence of possibly impulsive noise is studied. The state-of-the-art greedy algorithms, Iterative Hard Thresholding (IHT), Orthogonal Matching Pursuit (OMP), and Compressive Sampling Matching Pursuit (CoSaMP) are robustified in order to cope with impulsive noise environments and outliers. We employ robust weighting of the residuals and replace the least-squares estimates by M-estimates of regression. Also a robust M-estimation based ridge regression is considered and shown to possess high potential when utilized in CS algorithms. |
| Starting Page | 969 |
| Ending Page | 973 |
| File Size | 199465 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467310680 |
| ISSN | 20761465 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-27 |
| Publisher Place | Romania |
| Access Restriction | Subscribed |
| Rights Holder | EURASIP |
| Subject Keyword | Greedy algorithms Compressive sensing Matching pursuit |
| Content Type | Text |
| Resource Type | Article |
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