Robustly stable signal recovery in compressed sensing with structured matrix perturbation
The sparse signal recovery in the standard compressed sensing (CS) problem requires that the sensing matrix be known a priori. Such an ideal assumption may not be met in practical applications where various errors and fluctuations exist in the sensing instruments. This paper considers the problem of...
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Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/100144 http://hdl.handle.net/10220/13582 |
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Institution: | Nanyang Technological University |
Language: | English |
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