Discrete representation of signals on a logarithmic frequency scale

Aki Härmä*, Tuomas Paatero

*Corresponding author for this work

Research output: Contribution to conferencePaperAcademic

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.

Original languageEnglish
Pages39-42
Number of pages4
Publication statusPublished - 2001
Externally publishedYes
Event2001 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - New Paltz, NY, United States
Duration: 21 Oct 200124 Oct 2001

Workshop

Workshop2001 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Country/TerritoryUnited States
CityNew Paltz, NY
Period21/10/0124/10/01

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