Nonlinear blind signal separation: an RBF-based network approach

WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000 ◽

10.1109/icosp.2000.893437 ◽

2002 ◽

Author(s):

Ying Tan

Keyword(s):

Signal Separation ◽

Blind Signal Separation ◽

Network Approach ◽

Blind Signal

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Neural network approach to blind signal separation of mono-nonlinearly mixed sources

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/tcsi.2005.849122 ◽

2005 ◽

Vol 52 (6) ◽

pp. 1236-1247 ◽

Cited By ~ 26

Author(s):

W.L. Woo ◽

S.S. Dlay

Keyword(s):

Neural Network ◽

Signal Separation ◽

Blind Signal Separation ◽

Network Approach ◽

Neural Network Approach ◽

Blind Signal

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Nonlinear underdetermined blind signal separation using Bayesian neural network approach

Digital Signal Processing ◽

10.1016/j.dsp.2006.04.003 ◽

2007 ◽

Vol 17 (1) ◽

pp. 50-68 ◽

Cited By ~ 13

Author(s):

C. Wei ◽

W.L. Woo ◽

S.S. Dlay

Keyword(s):

Neural Network ◽

Signal Separation ◽

Blind Signal Separation ◽

Network Approach ◽

Bayesian Neural Network ◽

Neural Network Approach ◽

Blind Signal ◽

Underdetermined Blind Signal Separation

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An effective direct multi-channel acoustic echo suppression model based on blind signal separation

IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006) ◽

10.1049/cp:20061452 ◽

2006 ◽

Author(s):

Peiyu He ◽

Gang Zhao ◽

Yongde Wang ◽

Jiliu Zhou

Keyword(s):

Signal Separation ◽

Blind Signal Separation ◽

Model Based ◽

Blind Signal ◽

Acoustic Echo ◽

Echo Suppression

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A Novel Adaptive Algorithm for Blind Signal Separation of Linear Mixture

2007 International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2007.263 ◽

2007 ◽

Author(s):

Yi-Yong Zhu ◽

Yong-Gang Zhu ◽

Fu-Qiang Yao ◽

Sheng-Yong Guan

Keyword(s):

Adaptive Algorithm ◽

Signal Separation ◽

Blind Signal Separation ◽

Blind Signal

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Advances in Modern Blind Signal Separation Algorithms: Theory and Applications

Synthesis Lectures on Algorithms and Software in Engineering ◽

10.2200/s00258ed1v01y201003ase006 ◽

2010 ◽

Vol 2 (1) ◽

pp. 1-100 ◽

Cited By ~ 2

Author(s):

Kostas Kokkinakis ◽

Philipos C. Loizou

Keyword(s):

Signal Separation ◽

Blind Signal Separation ◽

Blind Signal

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Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2013.2276416 ◽

2013 ◽

Vol 61 (22) ◽

pp. 5507-5519 ◽

Cited By ~ 43

Author(s):

Mikael Sorensen ◽

Lieven De Lathauwer

Keyword(s):

Tensor Decomposition ◽

Signal Separation ◽

Blind Signal Separation ◽

Blind Signal ◽

Canonical Polyadic Decomposition

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Blind signal separation of linear mixture using trilinear decomposition

Journal of Electronics (China) ◽

10.1007/s11767-008-0010-2 ◽

2009 ◽

Vol 26 (5) ◽

pp. 608-613 ◽

Cited By ~ 1

Author(s):

Xiaofei Zhang ◽

Dazhuan Xu

Keyword(s):

Signal Separation ◽

Blind Signal Separation ◽

Trilinear Decomposition ◽

Blind Signal

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Performance of decoupled direction finding based on blind signal separation

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1997.604835 ◽

2002 ◽

Cited By ~ 5

Author(s):

M. Viberg ◽

P. Pelin ◽

A. Ranheim

Keyword(s):

Direction Finding ◽

Signal Separation ◽

Blind Signal Separation ◽

Blind Signal

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FPGA implementation of a second-order convolutive blind signal separation algorithm

2013 21st Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2013.6531530 ◽

2013 ◽

Cited By ~ 1

Author(s):

S. Kasap ◽

S. Redif

Keyword(s):

Fpga Implementation ◽

Second Order ◽

Signal Separation ◽

Blind Signal Separation ◽

Separation Algorithm ◽

Blind Signal

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A Note on Stone's Conjecture of Blind Signal Separation

Neural Computation ◽

10.1162/0899766053011492 ◽

2005 ◽

Vol 17 (2) ◽

pp. 321-330 ◽

Cited By ~ 55

Author(s):

Shengli Xie ◽

Zhaoshui He ◽

Yuli Fu

Keyword(s):

Blind Source Separation ◽

Source Separation ◽

Signal Separation ◽

Blind Signal Separation ◽

The Novel ◽

Blind Signal ◽

Simple Simulation ◽

Novel Approaches

Stone's method is one of the novel approaches to the blind source separation (BSS) problem and is based on Stone's conjecture. However, this conjecture has not been proved. We present a simple simulation to demonstrate that Stone's conjecture is incorrect. We then modify Stone's conjecture and prove this modified conjecture as a theorem, which can be used a basis for BSS algorithms.

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