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Generalized Turbo Signal Recovery for Nonlinear Measurements and Orthogonal Sensing Matrices
December 15, 2015 Β· Declared Dead Β· π International Symposium on Information Theory
"No code URL or promise found in abstract"
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Authors
Ting Liu, Chao-Kai Wen, Shi Jin, Xiaohu You
arXiv ID
1512.04833
Category
cs.IT: Information Theory
Citations
32
Venue
International Symposium on Information Theory
Last Checked
6 months ago
Abstract
In this study, we propose a generalized turbo signal recovery algorithm to estimate a signal from quantized measurements, in which the sensing matrix is a row-orthogonal matrix, such as the partial discrete Fourier transform matrix. The state evolution of the proposed algorithm is derived and is shown to be consistent with that obtained with the replica method. Numerical experiments illustrate the excellent agreement of the proposed algorithm with theoretical state evolution.
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