Discrete representation of signals on a logarithmic frequency scale

Author

Härmä, Aki ; Paatero, Tuomas

Author_Institution

Media Signal Process. Res., Agere Syst., Murray Hill, NJ, USA

fYear

2001

fDate

2001

Firstpage

39

Lastpage

42

Abstract

Logarithmic frequency representation plays an important role in many audio and acoustic signal processing applications. This article presents a methodology for frequency-warped signal processing where the frequency representation is logarithmic above a certain limit frequency. It is demonstrated how this approach can be used with FFT or linear prediction to perform non-parametric, or parametric constant-Q spectrum analysis, respectively. The benefits of the use of logarithmic frequency representation are demonstrated with harmonic signals. It is also discussed how linear filters can be designed and implemented directly on a logarithmic frequency scale

Keywords

acoustic signal processing; audio signal processing; fast Fourier transforms; filtering theory; parameter estimation; prediction theory; signal representation; spectral analysis; FFT; acoustic signal processing; audio signal processing; discrete signal representation; frequency-warped signal processing; harmonic signals; limit frequency; linear filters; linear prediction coding; log-warped LPC; logarithmic frequency representation; logarithmic frequency scale; nonparametric spectrum analysis; parametric constant-Q spectrum analysis; Acoustic signal processing; Fourier transforms; Frequency; Laboratories; Nonlinear filters; Performance analysis; Power harmonic filters; Signal mapping; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Applications of Signal Processing to Audio and Acoustics, 2001 IEEE Workshop on the

Conference_Location

New Platz, NY

Print_ISBN

0-7803-7126-7

Type

conf

DOI

10.1109/ASPAA.2001.969537

Filename

969537