Rateb, Ahmad M. and Syed Yusof, Sharifah Kamilah (2015) Recovery error bounds on compressed sensing of noisy signals. International Journal of Communication Systems, 28 (3). pp. 546-559. ISSN 1074-5351
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Official URL: http://dx.doi.org/10.1002/dac.2686
Abstract
Compressed sensing is an emerging technique in the field of digital signal acquisition. It promises almost exact recovery of high-dimensional signals from a very small set of measurements. However, this technique is challenged by the task of recovering signals immersed in noise. In this paper, we derive upper and lower bounds on mean squared recovery error of noisy signals. These bounds are valid for any number of acquired measurements and at any signal-to-noise ratio. This work is highly useful for the design of any compressed sensing-based real world application by quantifying recovery error entailed with realistic digital signal acquisition scenarios.
Item Type: | Article |
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Uncontrolled Keywords: | sparse signal recovery, sub-nyquist sampling |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 55231 |
Deposited By: | Muhamad Idham Sulong |
Deposited On: | 04 Sep 2016 01:21 |
Last Modified: | 04 Sep 2016 01:21 |
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