Minimum entropy algorithms for source separation

被引：2
|
作者：
Wu, HC [1 ]
Principe, JC [1 ]
机构：
[1] Univ Florida, Dept Elect & Comp Engn, Computat Neuroengn Lab, Gainesville, FL 32611 USA
来源：
1998 MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, PROCEEDINGS | 1999年
关键词：
D O I：
10.1109/MWSCAS.1998.759478
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The minimum entropy or maximum likelihood estimation can be utilized in blind source separation problem. Eased on the local generalized Gaussian probability density model, a set of general anti-Hebbian rule can be derived. This set of adaptation rules give promising results when we test the real recordings.
引用
收藏
页码：242 / 245
页数：4
相关论文
共 50 条
  • [41] Analysis of source separation algorithms in industrial acoustic environments
    Lozano, Clevis
    Gomez, Andres
    Chacon-Rodriguez, Alfonso
    Merchan, Fernando
    Julian, Pedro
    2015 IEEE 6TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS & SYSTEMS (LASCAS), 2015,
  • [42] Accurate, fast and stable denoising source separation algorithms
    Valpola, H
    Särelä, J
    INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, 2004, 3195 : 65 - 72
  • [43] Optimizing blind source separation with guided genetic algorithms
    Gorriz, J. M.
    Puntonet, C. G.
    Rojas, F.
    Martin, R.
    Hornillo, S.
    Lang, E. W.
    NEUROCOMPUTING, 2006, 69 (13-15) : 1442 - 1457
  • [44] Stability analysis of learning algorithms for blind source separation
    Amari, S
    Chen, TP
    Cichocki, A
    NEURAL NETWORKS, 1997, 10 (08) : 1345 - 1351
  • [45] Survey on statistical dependent source separation model and algorithms
    Wang, Fa-Song
    Wang, Zhong-Yong
    Li, Rui
    Gao, Xiang-Chuan
    Jin, Jin
    Kongzhi yu Juece/Control and Decision, 2015, 30 (09): : 1537 - 1545
  • [46] Novel Blind Source Separation algorithms using cumulants
    Cruces, S
    Castedo, L
    Cichocki, A
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 3152 - 3155
  • [47] Minimum mutual information criteria for convolutive blind source separation
    Zhang Yan-liang
    Li Bao-ping
    Guo Hui
    NSWCTC 2009: INTERNATIONAL CONFERENCE ON NETWORKS SECURITY, WIRELESS COMMUNICATIONS AND TRUSTED COMPUTING, VOL 2, PROCEEDINGS, 2009, : 101 - 105
  • [48] Speaker Activity Detection and Minimum Variance Beamforming for Source Separation
    Ceolini, Enea
    Anumula, Jithendar
    Huber, Adrian
    Kiselev, Ilya
    Liu, Shih-Chii
    19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, 2018, : 836 - 840
  • [49] Minimum Entropy-Based Acoustic Source Localization with Laplace Distribution
    Liu Ying
    Liu Jianping
    Zhang Yiwen
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 498 - 501
  • [50] Blind source separation and blind equalization algorithms for mechanical signal separation and identification
    Tse, PW
    Zhang, JY
    Wang, XJ
    JOURNAL OF VIBRATION AND CONTROL, 2006, 12 (04) : 395 - 423
12345