Shifting Inequality and Recovery of Sparse Signals
In this paper, we present a concise and coherent analysis of the constrained ℓ₁ minimization method for stable recovering of high-dimensional sparse signals both in the noiseless case and noisy case. The analysis is surprisingly simple and elementary, while leads to strong results. In particular, it...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2012
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| Online Access: | http://hdl.handle.net/1721.1/69941 https://orcid.org/0000-0003-3582-8898 |