Analysis of periodic signals via order statistic filters

Harold G. Longbotham, Tom Arnow, Norman Barsalou, Jerome Keating, Randolph D. Glickman

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

1 Scopus citations

Abstract

The authors set forth an approach to the robust analysis of periodic digital data. This approach uses optimal order statistic (OS) filters for the filtering of non-Gaussian additive i.i.d. (independently identically distributed) noise and OS and generalized order statistic (GOS) filters to factor out impulsive and/or bursty noise. The noise is not necessarily stationary and may vary with phase (amplitude) and/or time. The methodology is applied to visual evoked response data.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages2128-2131
Number of pages4
Volume3
StatePublished - 1990
Event1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4) - New Orleans, LA, USA
Duration: May 1 1990May 3 1990

Other

Other1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4)
CityNew Orleans, LA, USA
Period5/1/905/3/90

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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    Longbotham, H. G., Arnow, T., Barsalou, N., Keating, J., & Glickman, R. D. (1990). Analysis of periodic signals via order statistic filters. In Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 3, pp. 2128-2131). Publ by IEEE.