On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Article number7065244
Pages (from-to)1580-1584
Journal / PublicationIEEE Signal Processing Letters
Volume22
Issue number10
Online published23 Mar 2015
Publication statusPublished - Oct 2015

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.

Research Area(s)

  • AMP, partial DFT, signal recovery, state evolution, turbo compressed sensing

Citation Format(s)

On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices. / Ma, Junjie; Yuan, Xiaojun; Ping, Li.
In: IEEE Signal Processing Letters, Vol. 22, No. 10, 7065244, 10.2015, p. 1580-1584.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review