Generalized Semi-Iterative Hard Thresholding Pursuit Algorithm and Its Application in Ghost Imaging

doi:10.13190/j.jbupt.2016.01.022

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (1): 117-121.doi: 10.13190/j.jbupt.2016.01.022

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Generalized Semi-Iterative Hard Thresholding Pursuit Algorithm and Its Application in Ghost Imaging

ZHAO Sheng-mei, TANG Wen-juan, ZHENG Bao-yu

Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2015-03-21 Online:2016-02-28 Published:2016-01-29

Abstract

Abstract:

A recovery algorithm, named generalized semi-iterative hard thresholding pursuit, was proposed. The algorithm modifies the searching direction of objective function with semi-iterative idea, has a polynomial acceleration convergence, and can be used for the signal without sparse information. It is shown that the proposed algorithm did improve the performance in term of reconstruction probability, peak signal-to-noise ratio, signal-to-noise ratio, and matching rate. The reconstruction quality in ghost imaging with the proposed algorithm is superior to that with the generalized hard thresholding method.

Key words: recovery algorithm, hard thresholding pursuit, semi-iterative, ghost imaging

CLC Number:

TN911.7

ZHAO Sheng-mei, TANG Wen-juan, ZHENG Bao-yu. Generalized Semi-Iterative Hard Thresholding Pursuit Algorithm and Its Application in Ghost Imaging[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(1): 117-121.

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Generalized Semi-Iterative Hard Thresholding Pursuit Algorithm and Its Application in Ghost Imaging

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