On coefficient delay in natural gradient blind deconvolution and source separation algorithms

被引:0
|
作者
Douglas, SC [1 ]
Sawada, H
Makino, S
机构
[1] So Methodist Univ, Dept Elect Engn, Dallas, TX 75275 USA
[2] NTT Corp, NTT Commun Sci Labs, Kyoto 6190237, Japan
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we study the performance effects caused by coefficient delays in natural gradient blind deconvolution and source separation algorithms. We present a statistical analysis of the effect of coefficient delays within such algorithms, quantifying the relative loss in performance caused by such coefficient delays with respect to delayless algorithm updates. We then propose a simple change to one such algorithm to improve its convergence performance.
引用
收藏
页码:634 / 642
页数:9
相关论文
共 50 条
  • [41] Integrated blind source separation algorithm with natural gradient based on whitening process
    Liu, Xin
    Ma, Lin
    Tan, Xue-Zhi
    [J]. Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2010, 42 (07): : 1046 - 1050
  • [42] Blind deconvolution by using phase spectral constraints and natural gradient
    Uchino, Eiji
    Suetake, Noriaki
    Sakano, Morihiko
    [J]. IEICE ELECTRONICS EXPRESS, 2005, 2 (09): : 316 - 320
  • [43] Gradient flow convolutive blind source separation
    Pedersen, MS
    Nielsen, CM
    [J]. MACHINE LEARNING FOR SIGNAL PROCESSING XIV, 2004, : 335 - 344
  • [44] Blind Source Separation of Gearbox Signal Based on Frequency Domain Blind Deconvolution
    Tian Hao
    Tang Liwei
    Tian Guang
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 4, 2010, : 610 - 613
  • [45] Optimal sparse representations for blind source separation and blind deconvolution: A learning approach
    Bronstein, MM
    Bronstein, AM
    Zibulevsky, M
    Zeevi, YY
    [J]. ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5, 2004, : 1815 - 1818
  • [46] Blind deconvolution and source separation: Recent results and open issues
    Regalia, PA
    [J]. MATHEMATICS IN SIGNAL PROCESSING V, 2002, (71): : 25 - 35
  • [47] Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion
    Zhang, Kun
    Chan, Lai-Wan
    [J]. NEUROCOMPUTING, 2010, 73 (13-15) : 2580 - 2588
  • [48] Blind source separation and deconvolution: The dynamic component analysis algorithm
    Attias, H
    Schreiner, CE
    [J]. NEURAL COMPUTATION, 1998, 10 (06) : 1373 - 1424
  • [49] Multichannel blind deconvolution for source separation in convolutive mixtures of speech
    Kokkinakis, K
    Nandi, AK
    [J]. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2006, 14 (01): : 200 - 212
  • [50] A scalable vlsi architecture for multichannel blind deconvolution and source separation
    Pan, H
    Xia, D
    Douglas, SC
    Smith, KF
    [J]. 1998 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS-SIPS 98: DESIGN AND IMPLEMENTATION, 1998, : 297 - 306