Estimating phase linearity in the frequency-domain ICA demixing matrix

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5441, Issue , 2009, Pages 362-370

  Toyama, Keisuke ^a,b   Plumbley, Mark D ^b  

^a SONY CORPORATION   (Japan)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DEMIXING MATRIX; FREQUENCY DOMAINS; PERMUTATION PROBLEMS; PHASE LINEARITY; PHASE RESPONSE;

APARTMENT HOUSES; BLIND SOURCE SEPARATION; FINITE DIFFERENCE METHOD; FREQUENCY DOMAIN ANALYSIS; HEMODYNAMICS; LINEARIZATION; MONOLITHIC MICROWAVE INTEGRATED CIRCUITS; SEPARATION;

INDEPENDENT COMPONENT ANALYSIS;

EID: 67149096065     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00599-2_46     Document Type: Conference Paper

References (8)

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4. Sawada, H., et al.: Grouping separated frequency components by estimating propagation model parameters in frequency-domain blind source separation. IEEE Trans. Audio, Speech, and Language Proc. 15, 1592-1604 (2007)
5. Vincent, E., et al.: Performance measurement in blind audio source separation. IEEE Trans. on Audio, Speech and Language Proc. 14, 1462-1469 (2006)
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7. Toyama, K., et al.: Using phase linearity to tackle the permutation problem in audio source separation. In: Proc. IWAENC 2008, paper ID 9040 (2008)
8. Toyama, K., et al.: Solving the permutation problem using phase linearity and frequency correlation. In: Proc. ICArn International Workshop 2008, pp. 48-51 (2008)