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» A Constraint Learning Algorithm for Blind Source Separation
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ICIP
2010
IEEE
13 years 6 months ago
Hyper-DEMIX: Blind source separation of hyperspectral images using local ML estimates
We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, ...
Simon Arberet
NIPS
2003
13 years 10 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...
ICASSP
2008
IEEE
14 years 3 months ago
Encoding large array signals into a 3D sound field representation for selective listening point audio based on blind source sepa
A sound eld reproduction method which uses blind source separation and head-related transfer function is proposed. In the proposed system, multichannel acoustic signals captured a...
Kenta Niwa, Takanori Nishino, Kazuya Takeda
ICMCS
2009
IEEE
171views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Optimal joint linear acoustic echo cancelation and blind source separation in the presence of loudspeaker nonlinearity
Acoustic echoes represent a major source of discomfort in hands free, full-duplex, communication systems. The problem becomes particularly difficult when the loudspeakers are nonl...
Mehrez Souden, Zicheng Liu
DSP
2007
13 years 9 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...