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Proceedings Paper

Wavelets and red signals
Author(s): Steven D. Meyers; James J. O'Brien
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Paper Abstract

When data records contain energy at periods longer then the record standard Fourier techniques do not yield accurate spectra because of bias errors. The wavelet transform can, with proper choice of analyzing wavelet, accurately examine some of these biased signals. Each wavelet generates its own cone of influence from the endpoints that contain inaccurate wavelet coefficients. Additionally, wavelet analysis performs a scale projection from Fourier wavelength to wavelet scale that depends upon the analyzing wavelet. Taking these two effects into account, a single parameter is found that describes how well a particular wavelet can reveal a stationary red signal.

Paper Details

Date Published: 15 March 1994
PDF: 6 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170042
Show Author Affiliations
Steven D. Meyers, Florida State Univ. (United States)
James J. O'Brien, Florida State Univ. (United States)

Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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