A quantitative comparison of non-parametric time-frequency representations

L. Rankine, N. Stevenson, M. Mesbah, B. Boashash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper we compare a variety of non-parametric time-frequency methods to determine the best time-frequency representation (TFR) for a collection of signals. These methods include quadratic time-frequency transforms, atomic decomposition and adaptive quadratic time-frequency transforms. The performance measures used to assess the TFRs include; two-dimensional correlation, IF correlation and time-frequency resolution. Synthetic signals with different time-frequency characteristics were used in the comparison to show the strengths and weaknesses of the different time-frequency methods. It was determined that adaptive quadratic time-frequency representations provide the best overall performance and should be used if no a priori information about the time-frequency characteristics of a signal is known.

Original languageEnglish
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
Pages588-591
Number of pages4
Publication statusPublished - 2005
Event13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey
Duration: Sep 4 2005Sep 8 2005

Other

Other13th European Signal Processing Conference, EUSIPCO 2005
CountryTurkey
CityAntalya
Period9/4/059/8/05

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ASJC Scopus subject areas

  • Signal Processing

Cite this

Rankine, L., Stevenson, N., Mesbah, M., & Boashash, B. (2005). A quantitative comparison of non-parametric time-frequency representations. In 13th European Signal Processing Conference, EUSIPCO 2005 (pp. 588-591)