Fast fixed-point independent vector analysis algorithms for convolutive blind source separation

被引：94

作者：

Lee, Intae ^{[1
]}

Kim, Taesu ^{[1
]}

Lee, Te-Won ^{[1
]}

机构：

[1] Univ Calif San Diego, Inst Neural Computat, La Jolla, CA 92093 USA

来源：

SIGNAL PROCESSING | 2007年 / 87卷 / 08期

关键词：

blind source separation; cocktail party problem; convolutive mixture; permutation problem; statistical signal processing; statistical learning; independent component analysis; independent vector analysis; fast algorithm; complex optimization;

D O I：

10.1016/j.sigpro.2007.01.010

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new type of independent component analysis (ICA) model showed excellence in tackling the blind source separation problem in the frequency domain. The new model, called independent vector analysis, is an extension of ICA for (independent) multivariate sources where the sources are mixed component-wise. In this work we examine available contrasts for the new formulation that can solve the frequency-domain blind source separation problem. Also, we introduce a quadratic Taylor polynomial in the notations of complex variables which is very useful in directly applying Newton's method to a contrast function of complex-valued variables. The use of the form makes the derivation of a Newton update rule simple and clear. Fast fixed-point blind source separation algorithms are derived and the performance is shown by experimental results. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：1859 / 1871

页数：13

共 50 条

[1] Differential fast fixed-point algorithms for underdetermined instantaneous and convolutive partial blind source separation
Thomas, Johan
Deville, Yannick
Hosseini, Shahram
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2007, 55 (07) : 3717 - 3729
[2] Independent vector analysis for convolutive blind noncircular source separation
Zhang, Hefa
Li, Liping
Li, Wanchun
SIGNAL PROCESSING, 2012, 92 (09) : 2275 - 2283
[3] Fast and robust fixed-point algorithms for independent component analysis
Hyvärinen, A
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (03): : 626 - 634
[4] Fast and robust fixed-point algorithms for independent component analysis
Helsinki University of Technology, Laboratory of Computer and Information Science, FIN-02015 HUT, Finland
IEEE Trans Neural Networks, 3 (626-634):
[5] Real-Time Independent Vector Analysis for Convolutive Blind Source Separation
Kim, Taesu
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2010, 57 (07) : 1431 - 1438
[6] Time-domain fast fixed-point algorithms for convolutive ICA
Thomas, J
Deville, Y
Hosseini, S
IEEE SIGNAL PROCESSING LETTERS, 2006, 13 (04) : 228 - 231
[7] Reverberant Audio Blind Source Separation via Local Convolutive Independent Vector Analysis
Feng, Fangchen
Begdadi, Azeddine
2020 IEEE 22ND INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2020,
[8] Audio video based fast fixed-point independent vector analysis for multisource separation in a room environment
Liang, Yanfeng
Naqvi, Syed Mohsen
Chambers, Jonathon A.
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2012,
[9] Audio video based fast fixed-point independent vector analysis for multisource separation in a room environment
Yanfeng Liang
Syed Mohsen Naqvi
Jonathon A Chambers
EURASIP Journal on Advances in Signal Processing, 2012
[10] A fixed-point algorithm for blind source separation with nonlinear autocorrelation
Shi, Zhenwei
Jiang, Zhiguo
Zhou, Fugen
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2009, 223 (02) : 908 - 915

← 1 2 3 4 5 →