Contrast functions for blind source separation based on time frequency distributions

被引:0
|
作者
Belouchrani, A [1 ]
Abed-Meraim, K [1 ]
机构
[1] Ecole Natl Polytech, Dept Elect Engn, Algiers 16200, Algeria
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces new source separation techniques exploiting the time frequency signatures of the source signals. The proposed approach relies on Time Frequency Distributions (TFD). Two TFD-based contrast functions are presented for non stationary sources. Iterative algorithms using the relative gradient technique are used to optimize the proposed contrast functions and perform the source separation.
引用
收藏
页码:49 / 52
页数:4
相关论文
共 50 条
  • [1] Contrast functions for blind source separation based on time-frequency information-theory
    Sahmoudi, M
    Amin, MG
    Abed-Meraim, K
    Belouchrani, A
    [J]. INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, PROCEEDINGS, 2006, 3889 : 876 - 884
  • [2] Blind source separation based on high-resolution time-frequency distributions
    Guo, Jing
    Zeng, Xiaoping
    She, Zhishun
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2012, 38 (01) : 175 - 184
  • [3] A new approach for blind source separation using time frequency distributions
    Belouchrani, A
    Amin, MG
    [J]. ADVANCED SIGNAL PROCESSING ALGORITHMS, ARCHITECTURES, AND IMPLEMENTATIONS VI, 1996, 2846 : 193 - 203
  • [4] Contrast functions for deterministic blind source separation
    Comon, P
    Lebrun, J
    [J]. 2003 4TH IEEE WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS - SPAWC 2003, 2004, : 457 - 461
  • [5] Spatial time-frequency Distributions for direction finding and blind source separation
    Amin, MG
    [J]. WAVELET APPLICATIONS VI, 1999, 3723 : 62 - 70
  • [6] Two contributions to blind source separation using time-frequency distributions
    Févotte, C
    Doncarli, C
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2004, 11 (03) : 386 - 389
  • [7] Application of Time-Frequency Distributions to the Blind Source Separation of Mechanical Fault Signals
    Hao, Zhi-hua
    Tian, Hong-xia
    Tian, Li-xin
    [J]. MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 395 - 399
  • [8] Blind source separation based on time-frequency signal representations
    Belouchrani, A
    Amin, MG
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (11) : 2888 - 2897
  • [9] Extraction of EEG Components Based on Time - Frequency Blind Source Separation
    Zhang, Xue-Ying
    Wang, Wei-Rong
    Shen, Cheng-Ye
    Sun, Ying
    Huang, Li-Xia
    [J]. ADVANCES IN INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PT II, 2018, 82 : 3 - 10
  • [10] A bayesian approach to time-frequency based blind source separation
    Févotte, C
    Godsill, SJ
    [J]. 2005 WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA), 2005, : 1 - 4