Reduced bias time-frequency peak filtering

Mostefa Mesbah, Boualem Boashash

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

6 Citations (Scopus)

Abstract

Time-frequency peak filtering (TFPF) allows the reconstruction of signals from observations corrupted by additive noise by encoding the noisy signal as the instantaneous frequency (IF) of an FM analytic signal. IF estimation is then performed on the analytic signal using the peak of a time-frequency distribution (TFD) to recover the filtered signal. This method is biased when the peak of the Wigner-Ville distribution (WVD) is used to estimate the encoded signal's instantaneous frequency. We derive the windowed WVD window length that achieves a reduced bias when TFPF is used for the class of deterministic bandlimited non-stationary multicomponent signals in additive white Gaussian noise (AWGN).

Original languageEnglish
Title of host publication6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis
PublisherIEEE Computer Society
Pages327-330
Number of pages4
Volume1
ISBN (Print)0780367030, 9780780367036
DOIs
Publication statusPublished - 2001
Event6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Kuala Lumpur, Malaysia
Duration: Aug 13 2001Aug 16 2001

Other

Other6th International Symposium on Signal Processing and Its Applications, ISSPA 2001
CountryMalaysia
CityKuala Lumpur
Period8/13/018/16/01

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

Fingerprint Dive into the research topics of 'Reduced bias time-frequency peak filtering'. Together they form a unique fingerprint.

Cite this