Minimum perceptual spectral distance FIR filter design

Author

Wu, Shao-Po ; Putnam, William

Author_Institution

Inf. Syst. Lab., Stanford Univ., CA, USA

Volume

1

fYear

1997

fDate

21-24 Apr 1997

Firstpage

447

Abstract

This paper addresses the problem of designing finite impulse response filters which optimally approximate desired frequency responses in the sense that they minimize a perceptual audio spectral measure. This measure is based on a simplified auditory model similar to those used in the area of perceptual audio quality measurement. It is shown that this problem can be cast as a logarithmic Chebychev approximation problem, which can be solved efficiently using interior point methods

Keywords

Chebyshev approximation; FIR filters; audio signals; filtering theory; frequency response; signal representation; spectral analysis; FIR filter design; auditory model; finite impulse response filters; frequency responses; interior point methods; logarithmic Chebychev approximation problem; minimum perceptual spectral distance; perceptual audio quality measurement; perceptual audio spectral measure; signal representation; Acoustic measurements; Area measurement; Finite impulse response filter; Frequency measurement; Frequency response; Laboratories; Music; Power system modeling; Signal design; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.599671

Filename

599671