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Volumn 3195, Issue , 2004, Pages 643-651

On the FIR inversion of an acoustical convolutive mixing system: Properties and limitations

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; INDEPENDENT COMPONENT ANALYSIS; INVERSE PROBLEMS; MATRIX ALGEBRA; MIXING; SIGNAL TO NOISE RATIO;

EID: 35048886537     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_82     Document Type: Article
Times cited : (2)

References (7)
  • 2
    • 35048836240 scopus 로고    scopus 로고
    • "Blind identification of MIMO FIR systems driven by quasi-stationary sources using second order statistics": A frequency domain approach
    • K. Rahbar, J.P. Reilly, J. H. Manton: "Blind identification of MIMO FIR systems driven by quasi-stationary sources using second order statistics": A frequency domain approach. IEEE T. Signal Processing. (2002)
    • (2002) IEEE T. Signal Processing
    • Rahbar, K.1    Reilly, J.P.2    Manton, J.H.3
  • 3
    • 0031650685 scopus 로고    scopus 로고
    • FIR Perfect Signal reconstruction from multiple convolutions: Minimum Deconvolver Orders
    • G. Harikumar, Y. Bresler: "FIR Perfect Signal reconstruction from multiple convolutions: Minimum Deconvolver Orders". IEEE T. Signal Processing. (1998)
    • (1998) IEEE T. Signal Processing
    • Harikumar, G.1    Bresler, Y.2
  • 5
    • 35048878820 scopus 로고    scopus 로고
    • Limitations of FIR Multi-Microphone Speech Derverberation in the Low-Delay Case
    • Kyoto.
    • M. Hofbauer, H.-A. Loeliger: "Limitations of FIR Multi-Microphone Speech Derverberation in the Low-Delay Case". IWAENC. Kyoto. (2003)
    • (2003) IWAENC
    • Hofbauer, M.1    Loeliger, H.-A.2
  • 6
    • 24344443142 scopus 로고    scopus 로고
    • Independent Component Analysis and Its Application to Sound Signal Separation
    • Kyoto.
    • K. Matsuoka: "Independent Component Analysis and Its Application to Sound Signal Separation". IWAENC. Kyoto. (2003)
    • (2003) IWAENC
    • Matsuoka, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.