NDLI: Summary of time-frequency algorithms for processing auditory evoked potentials

Content Provider	IEEE Xplore Digital Library
Author	Yuying Song Lindquist, C.S.
Copyright Year	2001
Description	Author affiliation: Ameritec Corp., Covina, CA, USA (Yuying Song)
Abstract	Adaptive filters are extremely useful for signal analysis. Using a time-frequency viewpoint, adaptive filters can be designed for the short-term spectral analysis of signals. In this study, time-varying adaptive filters developed from the short-term Fourier transform are used for estimation of auditory evoked potentials (AEP). Six methods using different noise definitions were investigated for time-varying class 1 Wiener filter design and their performance was compared. Conventional time-invariant one-dimensional Wiener estimation filters were also designed for comparison. It was found that the filter using the difference of two subgroups' average of post-stimulus recordings as noise gave the best result. Most time-varying Wiener filters perform better than the time-invariant ones designed using the same method.
Starting Page	829
Ending Page	833
File Size	496081
Page Count	5
File Format	PDF
ISBN	078037147X
ISSN	10586393
DOI	10.1109/ACSSC.2001.987040
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time frequency analysis Adaptive filters Wiener filter Transfer functions Statistics Biomedical computing Biomedical engineering Signal analysis Signal design Spectral analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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