The cocktail party problem

IEEE Instrumentation and Measurement Magazine

Volumn 11, Issue 3, 2008, Pages 44-48

  Ainhoren, Yoel ^a   Engelberg, Shlomo ^b   Friedman, Shay ^a  

^a JERUSALEM COLLEGE OF TECHNOLOGY   (Israel)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APARTMENT HOUSES; DIFFRACTIVE OPTICAL ELEMENTS; ISOMERS; REUSABILITY; SEPARATION; SIGNAL ANALYSIS; TREES (MATHEMATICS);

COCKTAIL PARTY; COMPONENT SIGNALS; DEGENERATE UNMIXING ESTIMATION TECHNIQUE; INDEPENDENT COMPONENTS; SOURCE SEPARATION; SPECIFIC KNOWLEDGE; STATISTICAL INDEPENDENCE;

BLIND SOURCE SEPARATION;

EID: 45249102026     PISSN: 10946969     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIM.2008.4534378     Document Type: Article

References (4)

1. A. Hyvärinen and E. Oja, "Independent component analysis: Algorithms and applications," Neural Networks, vol. 13, no. 4-5, pp. 411-430, 2000.
2. S. Engelberg, Random Signals and Noise: A Mathematical Introduction Boca Raton, FL: CRC Press, 2006.
3. K. Torkkola, "Blind Separation of Convolved Sources Based on Information Maximization," presented at IEEE Workshop on Neural Networks for Signal Processing, Kyoto, Japan, Sept. 4-6, 1996.
4. S. Rickard, R. Balan, and J. Rosca, "Real-Time Time-Frequency Based Blind Source Separation," in 3rd International Conference on Independent Component Analysis and Blind Source Separation (ICA2001), 2001.