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ICA
2007
Springer
13 years 11 months ago
Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution
In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beamforming (ABF) with multichannel blind deconvolution (M...
Kostas Kokkinakis, Philipos C. Loizou
TIP
2008
128views more  TIP 2008»
13 years 4 months ago
Blind Separation of Superimposed Shifted Images Using Parameterized Joint Diagonalization
We consider the blind separation of source images from linear mixtures thereof, involving different relative spatial shifts of the sources in each mixture. Such mixtures can be cau...
E. Be'ery, Arie Yeredor
TIT
2002
95views more  TIT 2002»
13 years 4 months ago
Mutual information approach to blind separation of stationary sources
This paper presents a unified approach to the problem of blind separation of sources, based on the concept of mutual information. This concept is applied to the whole source sequen...
Dinh-Tuan Pham
JMLR
2006
105views more  JMLR 2006»
13 years 4 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
ICASSP
2008
IEEE
13 years 11 months ago
Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources
Independent component analysis (ICA) for convolutive mixtures is often applied in the frequency domain due to the desirable decoupling into independent instantaneous mixtures per ...
Graham W. Taylor, Michael L. Seltzer, Alex Acero