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On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices
March 18, 2015 Β· Declared Dead Β· π IEEE Signal Processing Letters
"No code URL or promise found in abstract"
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Authors
Junjie Ma, Xiaojun Yuan, Li Ping
arXiv ID
1503.05314
Category
cs.IT: Information Theory
Citations
54
Venue
IEEE Signal Processing Letters
Last Checked
5 months ago
Abstract
This letter is on the performance of the turbo signal recovery (TSR) algorithm for partial discrete Fourier transform (DFT) matrices based compressed sensing. Based on state evolution analysis, we prove that TSR with a partial DFT sensing matrix outperforms the well-known approximate message passing (AMP) algorithm with an independent identically distributed (IID) sensing matrix.
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