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TASLP
2010
138views more  TASLP 2010»
13 years 2 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...
ICASSP
2010
IEEE
13 years 2 months ago
Temporally constrained SCA with applications to EEG data
In this paper we propose an iterative algorithm for solving the problem of extracting a sparse source signal when a reference signal for the desired source signal is available. In...
Nasser Mourad, James P. Reilly, Gary Hasey, Duncan...
ICASSP
2008
IEEE
14 years 1 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
NIPS
1997
13 years 8 months ago
Extended ICA Removes Artifacts from Electroencephalographic Recordings
Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks, muscle, heart and line noise is a serious problem for EEG interpretation and analysis. Rej...
Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott...
MSE
2002
IEEE
198views Hardware» more  MSE 2002»
14 years 9 days ago
BSS: A New Approach for Watermark Attack
Digital watermarking is the enabling technology to prove ownership on copyrighted material, detect originators of illegally made copies, monitor the usage of the copyrighted multi...
Jiang Du, Choong-Hoon Lee, Heung-Kyu Lee, Young-Ho...