Title :
Turbo Compressed Sensing with Partial DFT Sensing Matrix
Author :
Junjie Ma ; Xiaojun Yuan ; Li Ping
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
Abstract :
In this letter, we propose a turbo compressed sensing algorithm with partial discrete Fourier transform (DFT) sensing matrices. Interestingly, the state evolution of the proposed algorithm is shown to be consistent with that derived using the replica method. Numerical results demonstrate that the proposed algorithm outperforms the well-known approximate message passing (AMP) algorithm when a partial DFT sensing matrix is involved.
Keywords :
compressed sensing; discrete Fourier transforms; matrix algebra; AMP algorithm; approximate message passing; partial DFT sensing matrix; partial discrete Fourier transform; replica method; turbo compressed sensing; Approximation algorithms; Compressed sensing; Discrete Fourier transforms; Message passing; Sensors; Signal processing algorithms; Standards; Approximate message passing (AMP); compressed sensing; partial DFT matrix; replica method; state evolution;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2014.2351822