Blind source separation based on immune algorithm with four-order mutual cumulates

被引：0
|
作者：
Zhang, HY [1 ]
Wang, K [1 ]
Pan, YX [1 ]
Zhang, W [1 ]
机构：
[1] Xian Univ Technol, Dept Automat & Informat, Xian 710048, Peoples R China
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY PROCEEDINGS | 2005年
关键词：
blind source separation; Eigenvalue decomposition; four-order mutual cumulates; immune algorithm;
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：
A blind source separation method based on immune algorithm (IA) is proposed. The first step performs initialization of mixed signals, which estimates the dimension of signals and abstracts principal component information by eigenvalue decomposition. The second step performs separation of sources, where a separate matrix is estimated. The separate matrix is updated by IA and high order statistics (high order cumulates), where contrast function is based on the transformation of four-order mutual cumulates. The effectiveness of proposed method for blind source separation is demonstrated by simulation.
引用
收藏
页码：108 / 112
页数：5
相关论文
共 50 条
  • [41] Multistage decomposition algorithm for blind source separation
    Feng, DH
    Bao, Z
    Zhang, XD
    PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2002, 12 (05) : 378 - 382
  • [42] A novel blind source separation algorithm based on projected natural gradient
    Ye, Jimin
    Jin, Haihong
    CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 1, PROCEEDINGS, 2008, : 70 - +
  • [43] The system of speech enhancement algorithm for blind source separation based on FastICA
    Zhang, Minsan
    PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015), 2015, 126 : 776 - 779
  • [44] A high order cumulants based multivariate nonlinear blind source separation method
    Zhang, F
    MACHINE LEARNING, 2005, 61 (1-3) : 105 - 127
  • [45] A High Order Cumulants Based Multivariate Nonlinear Blind Source Separation Method
    Feng Zhang
    Machine Learning, 2005, 61 : 105 - 127
  • [46] Blind source separation based on subspace
    Xu, SZ
    Ye, ZF
    INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES 2005, VOLS 1 AND 2, PROCEEDINGS, 2005, : 151 - 154
  • [47] A NEW ALGORITHM FOR THE UNDERDETERMINED BLIND SOURCE SEPARATION BASED ON SPARSE COMPONENT ANALYSIS
    Liu, Hai-Lin
    Yao, Chu-Jun
    Hou, Jia-Xun
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2009, 23 (01) : 71 - 85
  • [48] Blind source separation algorithm for biomedical signal based on lie group manifold
    Cheng, Daguang
    Zheng, Mingliang
    MCB Molecular and Cellular Biomechanics, 2024, 21 (03):
  • [49] A multi-variate blind source separation algorithmA multi-variate blind source separation algorithm
    Goldhacker, M.
    Keck, P.
    Igel, A.
    Lang, E. W.
    Tome, A. M.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, 151 : 91 - 99
  • [50] Blind Source Separation Based on Double-Mutant Butterfly Optimization Algorithm
    Xia, Qingyu
    Ding, Yuanming
    Zhang, Ran
    Liu, Minti
    Zhang, Huiting
    Dong, Xiaoqi
    SENSORS, 2022, 22 (11)
12345