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ICA
2004
Springer
14 years 25 days ago
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
SOBI is a blind source separation algorithm based on time decorrelation. It uses multiple time autocovariance matrices, and performs joint diagonalization thus being more robust th...
Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfg...
CSL
2010
Springer
13 years 7 months ago
Monaural speech separation based on MAXVQ and CASA for robust speech recognition
Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene a...
Peng Li, Yong Guan, Shijin Wang, Bo Xu, Wenju Liu
ICA
2004
Springer
14 years 25 days ago
Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA
Abstract. We present a straightforward way to use temporal decorrelation as preprocessing in linear and post-nonlinear independent component analysis (ICA) with higher order statis...
Juha Karvanen, Toshihisa Tanaka
ICASSP
2011
IEEE
12 years 11 months ago
An extension of the ICA model using latent variables
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...
Selwa Rafi, Marc Castella, Wojciech Pieczynski
BSN
2006
IEEE
112views Sensor Networks» more  BSN 2006»
14 years 1 months ago
Source Recovery for Body Sensor Network
To accurately capture clinically relevant episodes with Body Sensor Networks (BSNs), multi-sensor fusion is essential for extracting intrinsic physiological and contextual informa...
Benny P. L. Lo, Fani Deligianni, Guang-Zhong Yang