Forward-backward pursuit method for distributed compressed sensing

被引：0
作者：
Yujie Zhang
Rui Qi
Yanni Zeng
机构：
[1] China University of Geosciences,School of Mathematics and Physics
[2] University of Windsor,School of Computer Science
[3] Naval University of Engineering,School of Science
[4] Hubei University of Economics,Faculty of Statistics
来源：
Multimedia Tools and Applications | 2017年 / 76卷
关键词：
Distributed compressed sensing; Forward-backward pursuit; Sparsity; Sparse signal reconstruction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a forward-backward pursuit method for distributed compressed sensing (DCSFBP) is proposed. In contrast to existing distributed compressed sensing (DCS), it is an adaptive iterative approach where each iteration consists of consecutive forward selection and backward removal stages. And it not needs sparsity as prior knowledge and multiple indices are identified at each iteration for recovery. These make it a potential candidate for many practical applications, when the sparsity of signals is not available. Numerical experiments, including recovery of random sparse signals with different nonzero coefficient distributions in many scenarios, in addition to the recovery of sparse image and the real-life electrocardiography (ECG) data, are conducted to demonstrate the validity and high performance of the proposed algorithm, as compared to other existing DCS algorithms.
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页码：20587 / 20608
页数：21
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[11]  
Tao T(2014)A compressed sensing approach for query by example video retrieval Multimed Tools Appl 72 3031-3044
[12]  
Candes E(2013)Compressed sensing signal recovery via forward-backward pursuit Digital Signal Process 22 1539-1548
[13]  
Tao T(2013)Robust 1-bit compressive sensing via binary stable embeddings of sparse vectors IEEE Trans Inf Theory 59 2082-2102
[14]  
Chen J(2013)Convolutional compressed sensing using deterministic sequences IEEE Trans Signal Process 61 740-752
[15]  
Chen YZ(2008)CoSaMP: iterative signal recovery from incomplete and inaccurate samples Appl Comput Harmon Anal 26 301-321
[16]  
Qin D(2010)Signal recovery from inaccurate and incomplete measurements via regularized orthogonal matching pursuit IEEE J Sel Top Sign Process 4 310-316
[17]  
Kuo YH(2014)Methods for distributed compressed sensing J Sens Actuator Netw 3 1-25
[18]  
Dai W(2011)Adaptive forward-backward greedy algorithm for learning sparse representations IEEE Trans Inf Theory 57 4689-4708
[19]  
Milenkovic O(2007)Signal recovery from random measurements via orthogonal matching pursuit IEEE Trans Inf Theory 53 4655-4666
[20]  
Dong WS(2011)A robust and efficient algorithm for distributed compressed sensing Comput Electr Eng 37 916-926
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