Approximation-tolerant model-based compressive sensing
The goal of sparse recovery is to recover a k-sparse signal x ε R[superscript n] from (possibly noisy) linear measurements of the form y = Ax, where A ε Rmxn describes the measurement process. Standard results in compressive sensing show that it is possible to recover the signal x from m = O(k log(n...
| Main Authors: | , , |
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| 其他作者: | |
| 格式: | 文件 |
| 语言: | en_US |
| 出版: |
Association for Computing Machinery
2018
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| 在线阅读: | http://hdl.handle.net/1721.1/114469 https://orcid.org/0000-0002-7983-9524 https://orcid.org/0000-0002-9603-7056 |