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

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

Research output: Contribution to journalConference article

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 languageEnglish (US)
Pages (from-to)981-982
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume17
Issue number2
StatePublished - Dec 1 1995
EventProceedings 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 1995Sep 23 1995

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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