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ICA
2012
Springer
12 years 28 days ago
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
We consider an extension of ICA and BSS for separating mutually dependent and independent components from two related data sets. We propose a new method which first uses canonical...
Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
ICASSP
2011
IEEE
12 years 9 months ago
Hybrid approach for multichannel source separation combining time-frequency mask with multi-channel Wiener filter
This paper discusses a hybrid approach for the multi-channel source separation, where both a time-frequency (t-f) mask and a multichannel Wiener filter (WF) are utilized. T-f mas...
Shoko Araki, Tomohiro Nakatani
TSP
2008
166views more  TSP 2008»
13 years 5 months ago
A Convex Analysis Framework for Blind Separation of Non-Negative Sources
This paper presents a new framework for blind source separation (BSS) of non-negative source signals. The proposed framework, referred herein to as convex analysis of mixtures of ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...
MICCAI
2007
Springer
14 years 6 months ago
Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals
We present a new functional magnetic resonance imaging (fMRI) analysis method that incorporates both spatial and temporal dynamics of bloodoxygen-level dependent (BOLD) signals wit...
Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer...
ICASSP
2008
IEEE
13 years 11 months ago
Blind separation of non-negative sources by convex analysis: Effective method using linear programming
We recently reported a criterion for blind separation of non-negative sources, using a new concept called convex analysis for mixtures of non-negative sources (CAMNS). Under some ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...