A fast NPCA algorithm for online blind source separation

被引：4
|
作者：
Zhu, XL [1 ]
Zhang, XD [1 ]
Su, YT [1 ]
机构：
[1] Tsing Hua Univ, Dept Automat, Beijing 100084, Peoples R China
来源：
NEUROCOMPUTING | 2006年 / 69卷 / 7-9期
基金：
中国国家自然科学基金;
关键词：
blind source separation; nonlinear principal component analysis; independent component analysis; step size;
D O I：
10.1016/j.neucom.2005.06.011
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses the problem of blind source separation (BSS) and presents an optimum step size which makes the nonlinear principal component analysis (NPCA) cost function descend in the fastest way. By applying this step size in the self-stabilized NPCA algorithm, a fast NPCA algorithm is obtained. Computer simulations of online BSS show that the new algorithm works more efficiently than the existing least-mean-square (LMS)-type and recursive least-squares (RLS)-type NPCA algorithms. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：964 / 968
页数：5
相关论文
共 50 条
  • [1] Optimal Variable Momentum Factor Algorithm for NPCA in Blind Source Separation
    Gao Ying
    Dong Hongbin
    Ou Shifeng
    Xu Jindong
    Cai Zhuoran
    [J]. 2021 IEEE 18TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SMART SYSTEMS (MASS 2021), 2021, : 148 - 153
  • [2] AN ONLINE ADAPTIVE ALGORITHM FOR UNDERDETERMINED BLIND SOURCE SEPARATION
    Zhang, Ye
    Wu, Kangrui
    Tan, Gangyan
    Wu, Jianhua
    [J]. 2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2014, : 467 - 472
  • [3] An online algorithm for blind source separation with Gaussian mixture model
    Ohata, M
    Tokunari, T
    Matsuoka, K
    [J]. IEEE 2000 ADAPTIVE SYSTEMS FOR SIGNAL PROCESSING, COMMUNICATIONS, AND CONTROL SYMPOSIUM - PROCEEDINGS, 2000, : 375 - 378
  • [4] A Novel and Fast Blind Source Separation Algorithm for Convolutive Environment
    Rad, Faezeh Marzban
    Masnadi-Shirazi, Mohammad Ali
    [J]. IECON 2010 - 36TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2010,
  • [5] Online Algorithm of Blind Source Separation Based on Conjugate Gradient Method
    Xizhong Shen
    Xizhi Shi
    Guang Meng
    [J]. Circuits, Systems and Signal Processing, 2006, 25 : 381 - 388
  • [6] Online algorithm of blind source separation based on conjugate gradient method
    Shen, XZ
    Shi, XZ
    Meng, G
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2006, 25 (03) : 381 - 388
  • [7] A algorithm for blind source separation
    Liu, YH
    Wei, XY
    [J]. ICEMI 2005: CONFERENCE PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL 3, 2005, : 593 - 597
  • [8] A fast converging sequential blind source separation algorithm for cyclostationary sources
    Jafari, MG
    Mandic, DP
    Chambers, JA
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2003, 2773 : 1343 - 1349
  • [9] A fast blind source separation algorithm based on the temporal structure of signals
    Zhang, Hongjuan
    Wang, Guinan
    Cai, Pingmei
    Wu, Zikai
    Ding, Shuxue
    [J]. NEUROCOMPUTING, 2014, 139 : 261 - 271
  • [10] A New Fast Nonlinear Principal Component Analysis Algorithm for Blind Source Separation
    Wang, Xin
    Ou, Shifeng
    Gao, Ying
    Guo, Xiaofeng
    [J]. 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2015, : 1626 - 1630
12345