Nonparametric, low bias, and low variance time-frequency analysis of myoelectric signals

Kristin A. Farry; Richard G. Baraniuk; Ian D. Walker

Nonparametric, low bias, and low variance time-frequency analysis of myoelectric signals

Kristin A. Farry, Richard G. Baraniuk, Ian D. Walker

Research output: Contribution to journal › Conference article › peer-review

Abstract

We apply Thomson's multiple window method to myoelectric signal time-frequency analysis for the first time. We extend Thomson's spectral estimation methodology for stationary signals to a time-frequency analysis tool, which we call the short-time Thomson transform. We compare this time-frequency analysis approach with the short-time Fourier transform.

Original language	English (US)
Pages (from-to)	993-994
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	17
Issue number	2
State	Published - Dec 1 1995
Event	Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can Duration: Sep 20 1995 → Sep 23 1995

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

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title = "Nonparametric, low bias, and low variance time-frequency analysis of myoelectric signals",

abstract = "We apply Thomson's multiple window method to myoelectric signal time-frequency analysis for the first time. We extend Thomson's spectral estimation methodology for stationary signals to a time-frequency analysis tool, which we call the short-time Thomson transform. We compare this time-frequency analysis approach with the short-time Fourier transform.",

author = "Farry, {Kristin A.} and Baraniuk, {Richard G.} and Walker, {Ian D.}",

year = "1995",

month = dec,

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language = "English (US)",

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pages = "993--994",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

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number = "2",

note = "Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) ; Conference date: 20-09-1995 Through 23-09-1995",

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TY - JOUR

T1 - Nonparametric, low bias, and low variance time-frequency analysis of myoelectric signals

AU - Farry, Kristin A.

AU - Baraniuk, Richard G.

AU - Walker, Ian D.

PY - 1995/12/1

Y1 - 1995/12/1

N2 - We apply Thomson's multiple window method to myoelectric signal time-frequency analysis for the first time. We extend Thomson's spectral estimation methodology for stationary signals to a time-frequency analysis tool, which we call the short-time Thomson transform. We compare this time-frequency analysis approach with the short-time Fourier transform.

AB - We apply Thomson's multiple window method to myoelectric signal time-frequency analysis for the first time. We extend Thomson's spectral estimation methodology for stationary signals to a time-frequency analysis tool, which we call the short-time Thomson transform. We compare this time-frequency analysis approach with the short-time Fourier transform.

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UR - http://www.scopus.com/inward/citedby.url?scp=0029430939&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0029430939

SN - 0589-1019

VL - 17

SP - 993

EP - 994

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

IS - 2

T2 - Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2)

Y2 - 20 September 1995 through 23 September 1995

ER -

Nonparametric, low bias, and low variance time-frequency analysis of myoelectric signals

Abstract

ASJC Scopus subject areas

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