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Volumn 2003-January, Issue , 2003, Pages 103-106

A Gabor regression scheme for audio signal analysis

Author keywords

Additive noise; Bayesian methods; Conferences; Sampling methods; Signal analysis; Signal processing; Signal processing algorithms; Time frequency analysis; Vectors; Zirconium

Indexed keywords

ADDITIVE NOISE; AUDIO ACOUSTICS; BAYESIAN NETWORKS; PROBABILITY DISTRIBUTIONS; SIGNAL ANALYSIS; SIGNAL PROCESSING; TIME SERIES; VECTORS; ZIRCONIUM;

EID: 33646781064     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPAA.2003.1285830     Document Type: Conference Paper
Times cited : (5)

References (9)
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  • 3
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    • July
    • S. J. Godsill and P. J. W. Rayner, "Robust reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler," IEEE Trans. on Speech and Audio Processing, vol. 6, no. 4, pp. 352-372, July 1998.
    • (1998) IEEE Trans. on Speech and Audio Processing , vol.6 , Issue.4 , pp. 352-372
    • Godsill, S.J.1    Rayner, P.J.W.2
  • 4
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    • Semiparametric Bayesian inference for time series with mixed spectra
    • C. K. Carter and R. Kohn, "Semiparametric Bayesian inference for time series with mixed spectra," Journal of the Royal Statistical Society, Series B, vol. 59, no. 1, pp. 255-268, 1997.
    • (1997) Journal of the Royal Statistical Society, Series B , vol.59 , Issue.1 , pp. 255-268
    • Carter, C.K.1    Kohn, R.2
  • 5
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    • Bayesian inference for semiparametric regression using a Fourier representation
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    • Bayesian estimation of time-frequency coefficients for audio signal enhancement
    • S. Becker, S. Thrun, and K. Obermayer, Eds. MIT Press, Cambridge, MA
    • P. J. Wolfe and S. J. Godsill, "Bayesian estimation of time-frequency coefficients for audio signal enhancement," in Advances in Neural Information Processing Systems 15, S. Becker, S. Thrun, and K. Obermayer, Eds. MIT Press, Cambridge, MA, 2003.
    • (2003) Advances in Neural Information Processing Systems 15
    • Wolfe, P.J.1    Godsill, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.