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
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;
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
DOI :
10.1109/ISCAS.1992.230532