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Nonparametric, Low Bias, and Low Variance Time-Frequency Analysis of Myoelectric Signals

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Title: Nonparametric, Low Bias, and Low Variance Time-Frequency Analysis of Myoelectric Signals
Author: Farry, Kristin A; Baraniuk, Richard G.; Walker, Ian D
Type: Conference Paper
Citation: K. A. Farry, R. G. Baraniuk and I. D. Walker,"Nonparametric, Low Bias, and Low Variance Time-Frequency Analysis of Myoelectric Signals," in IEEE International Conference: Engineering in Medicine and Biology Society,, pp. 993-994.
Abstract: The authors apply Thomson's multiple window method (see D. Thomson â Spectrum Estimation and Harmonic Analysisâ , Proc. of the IEEE, vol. 70, no. 9, p. 1055-96) to myoelectric signal time-frequency analysis for the first time. They extend Thomson's spectral estimation methodology for stationary signals to a time-frequency analysis tool, which they call the short-time Thomson transform. They compare this time-frequency analysis approach with the short-time Fourier transform.
Date Published: 1995-09-01

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  • ECE Publications [1043 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.