Analysis of periodic signals via order statistic filters

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

Analysis of periodic signals via order statistic filters

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

Ophthalmology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	Publ by IEEE
Pages	2128-2131
Number of pages	4
Volume	3
State	Published - 1990
Event	1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4) - New Orleans, LA, USA Duration: May 1 1990 → May 3 1990

Other

Other	1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4)
City	New Orleans, LA, USA
Period	5/1/90 → 5/3/90

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

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title = "Analysis of periodic signals via order statistic filters",

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.",

author = "Longbotham, {Harold G.} and Tom Arnow and Norman Barsalou and Jerome Keating and Glickman, {Randolph D.}",

year = "1990",

language = "English (US)",

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pages = "2128--2131",

booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",

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note = "1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4) ; Conference date: 01-05-1990 Through 03-05-1990",

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T1 - Analysis of periodic signals via order statistic filters

AU - Longbotham, Harold G.

AU - Arnow, Tom

AU - Barsalou, Norman

AU - Keating, Jerome

AU - Glickman, Randolph D.

PY - 1990

Y1 - 1990

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:0025670976

VL - 3

SP - 2128

EP - 2131

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - Publ by IEEE

T2 - 1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4)

Y2 - 1 May 1990 through 3 May 1990

ER -