On Introducing Damping to Bayes Optimal Approximate Message Passing for Compressed Sensing

被引:0
|
作者
Mimura, Kazushi [1 ]
机构
[1] Hiroshima City Univ, Dept Informat Sci, Hiroshima 7313194, Japan
关键词
LINEAR INVERSE PROBLEMS; UNCERTAINTY PRINCIPLES; SIGNAL RECOVERY; INFORMATION; DYNAMICS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Some damping methods are introduced to the Bayes optimal approximate message passing for compressed sensing. We show that these damping methods make the algorithm converge against a typical problem that algorithms without damping fail to converge by numerical experiments.
引用
收藏
页码:659 / 662
页数:4
相关论文
共 50 条
  • [41] Message-Passing De-Quantization With Applications to Compressed Sensing
    Kamilov, Ulugbek S.
    Goyal, Vivek K.
    Rangan, Sundeep
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (12) : 6270 - 6281
  • [42] TURBO COMPRESSED SENSING USING MESSAGE PASSING DE- QUANTIZATION
    Movahed, Amin
    Reed, Mark C.
    Aboutorab, Neda
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 3796 - 3800
  • [43] Vector Approximate Message Passing
    Rangan, Sundeep
    Schniter, Philip
    Fletcher, Alyson K.
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2019, 65 (10) : 6664 - 6684
  • [44] Memory Approximate Message Passing
    Liu, Lei
    Huang, Shunqi
    Kurkoski, Brian M.
    [J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2021, : 1379 - 1384
  • [45] Hybrid Approximate Message Passing
    Rangan, Sundeep
    Fletcher, Alyson K.
    Goyal, Vivek K.
    Byrne, Evan
    Schniter, Philip
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (17) : 4577 - 4592
  • [46] Vector Approximate Message Passing
    Rangan, Sundeep
    Schniter, Philip
    Fletcher, Alyson K.
    [J]. 2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2017, : 1588 - 1592
  • [47] On Convergence of Approximate Message Passing
    Caltagirone, Francesco
    Zdeborova, Lenka
    Krzakala, Florent
    [J]. 2014 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2014, : 1812 - 1816
  • [48] VLSI Design of Approximate Message Passing for Signal Restoration and Compressive Sensing
    Maechler, Patrick
    Studer, Christoph
    Bellasi, David E.
    Maleki, Arian
    Burg, Andreas
    Felber, Norbert
    Kaeslin, Hubert
    Baraniuk, Richard G.
    [J]. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2012, 2 (03) : 579 - 590
  • [49] Compressive Sensing under Matrix Uncertainties: An Approximate Message Passing Approach
    Parker, Jason T.
    Cevher, Volkan
    Schniter, Philip
    [J]. 2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), 2011, : 804 - 808
  • [50] ROBUST APPROXIMATE MESSAGE PASSING FOR NONZERO-MEAN SENSING MATRICES
    Birgmeier, Stefan C.
    Goertz, Norbert
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 4898 - 4902