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» MISEP Method for Postnonlinear Blind Source Separation
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ICASSP
2011
IEEE
12 years 11 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien
ICASSP
2008
IEEE
14 years 2 months ago
Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources
We propose an extension of EFICA algorithm for piecewise stationary and non Gaussian signals. The proposed method is able to profit from varying distribution of the original sign...
Zbynek Koldovský, Jirí Málek,...
ICA
2004
Springer
14 years 29 days ago
Frequency Domain Blind Source Separation for Many Speech Signals
This paper presents a method for solving the permutation problem of frequency domain blind source separation (BSS) when the number of source signals is large, and the potential sou...
Ryo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Maki...
TSP
2008
166views more  TSP 2008»
13 years 7 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...
JMLR
2006
105views more  JMLR 2006»
13 years 7 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen