• DocumentCode
    285780
  • Title

    Optimal LS IIR filter design for music analysis/synthesis

  • Author

    Stonick, V.L. ; Massie, Dana

  • Author_Institution
    ECE Dept., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    5
  • fYear
    1992
  • fDate
    10-13 May 1992
  • Firstpage
    2405
  • Abstract
    Addresses the design of fixed, low-order infinite impulse response (IIR) filters for modeling the perceptually significant features of the spectra of string instrument bodies. The problem is stated mathematically, and the design methodologies compared here are reviewed. The experimental results are presented. The experimental set-up, data acquisition and data preprocessing are described. The spectra of the IIR filters designed using the least squares modified Yule-Walker equation, the Steiglitz-Mcbride method, and Hankel norm methods are compared. These spectra are also compared to the spectrum obtained by using an equivalent-order autoregressive model computed using the autocorrelation method. Results are summarized and ongoing work is discussed
  • Keywords
    correlation methods; digital filters; least squares approximations; music; Hankel norm methods; LS IIR filter design; Steiglitz-Mcbride method; autocorrelation method; data acquisition; data preprocessing; equivalent-order autoregressive model; infinite impulse response; modified Yule-Walker equation; music analysis/synthesis; string instrument bodies; Circuit synthesis; Design methodology; IIR filters; Instruments; Least squares methods; Multiple signal classification; Music; Predictive models; Signal synthesis; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0593-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1992.230532
  • Filename
    230532