Efficient Recovery of Block Sparse Signals by an Improved Algorithm of Block-StOMP 被引量：1

Efficient Recovery of Block Sparse Signals by an Improved Algorithm of Block-StOMP

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作者 Boxue Huang Tong Zhou

机构地区 Institute of Electronics Department of Automation and TNList

出处《自动化学报》 EI CSCD 北大核心 2017年第9期1607-1618,共12页 Acta Automatica Sinica

基金 This work was supported in part by the National Basic Research Program of China （973 Program）（2012CB316504, 2009CB320602）, and by the National Natural Science Foundation of China （61174122, 61021063, 60721003 and 60625305）, and also by the Specialized Research Fund for the Doctoral Program of Higher Education, China （20110002110045）.

Block sparse, compressed sensing, phase diagram, underdetermined system

分类号 TP [自动化与计算机技术]

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参考文献1

1ZHANG WanHong,ZHOU Tong,HUANG BoXue.Outlier deletion based improvement on the StOMP algorithm for sparse solution of large-scale underdetermined problems[J].Science China(Information Sciences),2014,57(9):238-251. 被引量：2

二级参考文献31

1Bruckstein A M, Donoho D L, Elad M. From sparse solutions of systems of equations to sparse modeling of signalsand images. SIAM Rev, 2009, 51: 34-81.
2Candes E J, Tao T. Near optimal signal recovery from random projections: universal encoding strategies? IEEE TransInf Theory, 2006, 52: 5406-5425.
3Marbach D, Schaffter T, Mattiussi C, et al. Generating realistic in silico gene networks for performance assessment ofreverse engineering methods. J Comput Biol, 2009, 16: 229-239.
4Rudelson M, Vershynin R. Geometric approach to error-correcting codes and reconstruction of signals. Int Math ResNotices, 2005, 2005: 4019-4041.
5Zhou T,Wang Y L. Causal relationship inference for a large-scale cellular network. Bioinformatics, 2010, 26: 2020-2028.
6Wang Y L, Zhou T. A relative variation-based method to unraveling gene regulatory networks. PLoS One, 2012, 7:e31194.
7Xiong J, Zhou T. Gene regulatory network inference from multifactorial perturbation data using both regression andcorrelation analyses. PLoS One, 2012, 7: e43819.
8Davenport M A, Wakin M B. Analysis of orthogonal matching pursuit using the restricted isometry property. IEEETrans Inf Theory, 2010, 56: 4395-4401.
9Dai W, Milenkovic O. Subspace pursuit for compressive sensing signal reconstruction. IEEE Trans Inf Theory, 2009,55: 2230-2249.
10Bryt O, Elad M. Compression of facial images using the K-SVD algorithm. J Vrs Commun Image Rep, 2008, 19:270-283.

共引文献1

1ZHANG YongQin,XIAO JinSheng,LI ShuHong,SHI CaiYun,XIE GuoXi.Learning block-structured incoherent dictionaries for sparse representation[J].Science China(Information Sciences),2015,58(10):74-88. 被引量：6

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