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SIP
2003
13 years 5 months ago
Time Domain Optimization Techniques for Blind Separation of Non-stationary Convolutive Mixed Signals
This paper aims to solve the problem of Blind Signal Separation (BSS) in a convolutive environment based on output correlation matrix diagonalization. Firstly an extension of the ...
Iain Russell, Alfred Mertins, Jiangtao Xi
ICA
2004
Springer
13 years 9 months ago
Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
We address the blind source separation (BSS) problem for the convolutive mixing case. Second-order statistical methods are employed assuming the source signals are non-stationary a...
Marcel Joho
IJON
2008
124views more  IJON 2008»
13 years 4 months ago
A dynamic algorithm for blind separation of convolutive sound mixtures
We study an efficient dynamic blind source separation algorithm of convolutive sound mixtures based on updating statistical information in the frequency domain, and minimizing the...
Jie Liu, Jack Xin, Yingyong Qi
TASLP
2010
138views more  TASLP 2010»
12 years 11 months ago
Glimpsing IVA: A Framework for Overcomplete/Complete/Undercomplete Convolutive Source Separation
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
Alireza Masnadi-Shirazi, Wenyi Zhang, Bhaskar D. R...
IJCSS
2006
116views more  IJCSS 2006»
13 years 4 months ago
Extracting Motor Unit Firing Information by Independent Component Analysis of Surface Electromyogram: A Preliminary Study Using
Decomposition of electromyogram (EMG) provides a valuable means of obtaining motor unit recruitment and firing rate information. The feasibility of decomposing surface EMG signals...
Ping Zhou, M. M. Lowery, W. Zev Rymer