Title :
Minimum perceptual spectral distance FIR filter design
Author :
Wu, Shao-Po ; Putnam, William
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599671