Transient detection using a homogeneity test

Biao Chen, Peter Willett, Roy Streit

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

A simple yet effective statistic is proposed for detecting transient buried in partially unknown ambient noise. The transient model is the frequency scattered increased variance observations. We pose the transient detection problem as homogeneity test and the statistic is derived as the (generalized) likelihood ratio test of overdispersion when the underlying observation sequence follows a double exponential distribution. Numerical testing focuses on the comparison of this scheme with the CFAR power-law detector.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE Computer Society
Pages2769-2772
Number of pages4
Volume5
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: Mar 15 1999Mar 19 1999

Other

OtherProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99)
CityPhoenix, AZ, USA
Period3/15/993/19/99

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

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  • Cite this

    Chen, B., Willett, P., & Streit, R. (1999). Transient detection using a homogeneity test. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5, pp. 2769-2772). IEEE Computer Society.