Stationary myoelectric spectra from a nonparametric, low bias, and low variance estimator

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

Stationary myoelectric spectra from a nonparametric, low bias, and low variance estimator

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

Houston Methodist

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

Abstract

We explain Thomson's crude multiple window method (MWM), a nonparametric spectral estimator with low bias and variance. We then compare its output to Hamming-windowed periodogram and autoregressive (AR) method outputs for a sample myoelectric signal. Our goal is a spectral estimator to embed in a myoelectric controller.

Original language	English (US)
Pages (from-to)	981-982
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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abstract = "We explain Thomson's crude multiple window method (MWM), a nonparametric spectral estimator with low bias and variance. We then compare its output to Hamming-windowed periodogram and autoregressive (AR) method outputs for a sample myoelectric signal. Our goal is a spectral estimator to embed in a myoelectric controller.",

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AU - Farry, Kristin A.

AU - Baraniuk, Richard G.

AU - Walker, Ian D.

PY - 1995/12/1

Y1 - 1995/12/1

N2 - We explain Thomson's crude multiple window method (MWM), a nonparametric spectral estimator with low bias and variance. We then compare its output to Hamming-windowed periodogram and autoregressive (AR) method outputs for a sample myoelectric signal. Our goal is a spectral estimator to embed in a myoelectric controller.

AB - We explain Thomson's crude multiple window method (MWM), a nonparametric spectral estimator with low bias and variance. We then compare its output to Hamming-windowed periodogram and autoregressive (AR) method outputs for a sample myoelectric signal. Our goal is a spectral estimator to embed in a myoelectric controller.

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M3 - Conference article

AN - SCOPUS:0029429582

SN - 0589-1019

VL - 17

SP - 981

EP - 982

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 -

Stationary myoelectric spectra from a nonparametric, low bias, and low variance estimator

Abstract

ASJC Scopus subject areas

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