ICASSP 2005 Philadelphia

2005 IEEE International Conference on Acoustics, Speech, and Signal Processing

March 18-23, 2005 • Pennsylvania Convention Center/Marriott Hotel • Philadelphia, PA, USA

MLSP-P1: Blind Signal Separation and Independent Component Analysis

Session Type: Poster
Time: Tuesday, March 22, 13:00 - 15:00
Location: CC: Poster 8
Chair: Tulay Adali, University of Maryland Baltimore County
 
MLSP-P1.1: KALMAN FILTERING ALGORITHM FOR BLIND SOURCE SEPARATION
         Qi Lv; Tsinghua University
         Xian-Da Zhang; Tsinghua University
         Ying Jia; Intel China Research Center
 
MLSP-P1.2: RELATIVE TRUST-REGION LEARNING FOR ICA
         Heeyoul Choi; POSTECH
         Seungjin Choi; POSTECH
 
MLSP-P1.3: FEATURE-SELECTIVE ICA AND ITS CONVERGENCE PROPERTIES
         Yi-Ou Li; University of Maryland, Baltimore County
         Tülay Adali; University of Maryland, Baltimore County
         Vince Calhoun; Yale University
 
MLSP-P1.4: A NOVEL PRE-PROCESSING TECHNIQUE OF BLIND SOURCE SEPARATION APPLYING Q-MODE FACTOR ANALYSIS
         Yoshio Konno; Sophia University
         Jianting Cao; Saitama Institute of Technology
         Mamoru Tanaka; Sophia University
 
MLSP-P1.5: PERCEPTUALLY MOTIVATED BLIND SOURCE SEPARATION OF CONVOLUTIVE MIXTURES
         Rammohana Reddy Guddeti; Institute for Digital Communications
         Bernard Mulgrew; Institute for Digital Communications
 
MLSP-P1.6: BLIND SOURCE SEPARATION IN THE PRESENCE OF DOPPLER FREQUENCY SHIFTS
         Arie Yeredor; Tel-Aviv University
 
MLSP-P1.7: ISSUES IN FREQUENCY DOMAIN BLIND SOURCE SEPARATION ­- A CRITICAL REVISIT
         Enrique Robledo-Arnuncio; Georgia Institute of Technology
         Biing-Hwang (Fred) Juang; Georgia Institute of Technology
 
MLSP-P1.8: SEMI-BLIND SOURCE SEPARATION FOR CONVOLUTIVE MIXTURES BASED ON FREQUENCY INVARIANT TRANSFORMATION
         Wei Liu; Imperial College London
         Danilo Mandic; Imperial College London
 
MLSP-P1.9: NON-NEGATIVE SOURCE SEPARATION: RANGE OF ADMISSIBLE SOLUTIONS AND CONDITIONS FOR THE UNIQUENESS OF THE SOLUTION
         Saïd Moussaoui; CRAN UMR CNRS 7039
         David Brie; CRAN UMR CNRS 7039
         Jérôme Idier; IRCCyN UMR CNRS 6597
 
MLSP-P1.10: LEARNING UNIONS OF ORTHONORMAL BASES WITH THRESHOLDED SINGULAR VALUE DECOMPOSITION
         Sylvain Lesage; IRISA (CNRS & INRIA)
         Rémi Gribonval; IRISA (CNRS & INRIA)
         Frédéric Bimbot; IRISA (CNRS & INRIA)
         Laurent Benaroya; IRISA (CNRS & INRIA)
 
MLSP-P1.11: ON THE DIFFERENCE BETWEEN UPDATING THE MIXING MATRIX AND UPDATING THE SEPARATION MATRIX
         Michael Syskind Pedersen; Oticon A/S
         Ulrik Kjems; Oticon A/S
         Jan Larsen; Technical University of Denmark
 
MLSP-P1.12: BLIND SOURCE SEPARATION FOR TIME-VARIANT MIXING SYSTEMS USING PIECEWISE LINEAR APPROXIMATIONS
         Ramon Prieto; Toyota InfoTechnology Center U.S.A.
         Pamornpol Jinachitra; Stanford University
 
MLSP-P1.13: BLIND IDENTIFICATION USING SECOND-ORDER STATISTICS: A NONSTATIONARITY AND NONWHITENESS APPROACH
         Uttachai Manmontri; Imperial College London
         Patrick Naylor; Imperial College London
 
MLSP-P1.14: NON-SPARSE APPROACH TO UNDERDETERMINED BLIND SIGNAL ESTIMATION
         Li Chin Khor; University of Newcastle upon Tyne
         Wai Lok Woo; University of Newcastle upon Tyne
         Satnam Singh Dlay; University of Newcastle upon Tyne
 
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