Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals

Signal Processing

Volumn 75, Issue 2, 1999, Pages 117-140

  Charkani, Nabil ^a   Deville, Yannick ^a  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; ERROR ANALYSIS; SPEECH PROCESSING;

ASYMPTOTIC ERROR VARIANCE; CONVOLUTIVELY MIXED SIGNALS; RECURSIVE STRUCTURE;

SIGNAL FILTERING AND PREDICTION;

EID: 0032655017     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(98)00228-X     Document Type: Article

References (7)

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2. N. Charkani Y. Deville Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour Signal Processing 73 3 1999 225 254
3. Ph. Garat, Approche statistique pour la séparation aveugle de sources, Ph.D. Thesis, UJF Grenoble, France, 1994.
4. C. Jutten J. Hérault Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture Signal Processing 24 1 July 1991 1 10
5. H.-L. Nguyen Thi C. Jutten Blind source separation for convolutive mixtures Signal Processing 45 2 August 1995 209 229
6. A. Papoulis, Probability, Random Variables and Stochastic Processes, McGraw-Hill, New York, 1984.
7. L.R. Rabiner, R.W. Schafer, Digital Processing of Speech Signals, Prentice-Hall, Englewood Cliffs, NJ, 1978.