-------- Original-Nachricht -------- Betreff: Advances in Blind Source Separation Datum: Wed, 4 May 2005 12:48:21 +0200 Von: EURASIP JASP Alert asp@alert.hindawi.com An: gustaf.neumann@wu-wien.ac.at
EURASIP Journal on Applied Signal Processing
Special Issue on
Advances in Blind Source Separation
Call for Papers
Almost every multichannel measurement includes mixtures of signals from several underlying sources. While the structure of the mixing process may be known to some degree, other unknown parameters are necessary to demix the measured sensor data. The time courses of the source signals and/or their locations in the source space are often unknown a priori and can only be estimated by statistical means. In the analysis of such measurements, it is essential to separate the mixed signals before beginning postprocessing.
Blind source separation (BSS) techniques then allow separation of the source signals from the measured mixtures. Many BSS problems may be solved using independent component analysis (ICA) or alternative approaches such as sparse component analysis (SCA) or nonnegative matrix factorization (NMF), evolving from information theoretical assumptions that the underlying sources are mutually statistically independent, sparse, smooth, and/or nonnegative.
The aim of this special issue is to focus on recent developments in this expanding research area.
The special issue will focus on one hand on theoretical approaches for single- and multichannel BSS, evolving from information theory, and especially on nonlinear blind source separation methods, and on the other hand or their currently ever-widening range of applications such as brain imaging, image coding and processing, dereverberation in noisy environments, and so forth.
Authors should follow the EURASIP JASP manuscript format described at the journal's web site http://www.hindawi.com/journals/asp/ Prospective authors should submit an electronic copy of their complete manuscript through the EURASIP JASP's manuscript tracking system at journal's web site, according to the following timetable.
Manuscript Due October 1, 2005 Acceptance Notification February 1, 2006 Final Manuscript Due May 1, 2006 Publication Date 3nd Quarter, 2006
GUEST EDITORS:
Scott Makeig, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California, San Diego, La Jolla, CA 92093-0961, USA; smakeig@ucsd.edu
Andrzej Cichocki, Laboratory for Advanced Brain Signal Processing, Brain Science Institute, The Institute of Physical and Chemical Research (RIKEN), 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; cia@brain.riken.go.jp
Frank Ehlers, Federal Armed Forces Underwater Acoustics and Marine Geophysics Research Institute, Klausdorfer Weg 2-24, 24148 Kiel, Germany; frankehlers@ieee.org
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