WFRF:(Panahi Ashkan 1986)
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Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements
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- Movahed, A. (author)
- University of New South Wales (UNSW)
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- Panahi, Ashkan, 1986 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Reed, Mark C. (author)
- University of New South Wales (UNSW)
- (creator_code:org_t)
- ISBN 9781479928927
- 2014
- 2014
- English.
- In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. - 1520-6149. - 9781479928927 ; , s. 6454-6458
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- In this paper, we consider the 1-bit compressive sensing reconstruction problem in a scenario that the sparsity level of the signal is unknown and time variant, and the binary measurements are contaminated with the noise. We introduce a new reconstruction algorithm which we refer to as Noise-Adaptive Restricted Step Shrinkage (NARSS). NARSS is superior in terms of performance, complexity and speed of convergence to the algorithms already introduced in the literature for 1-bit compressive sensing reconstruction from the noisy binary measurements.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- one bit quantization
- compressive sensing (CS)
Publication and Content Type
- kon (subject category)
- ref (subject category)
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