NDLI: Evolutionary time-frequency analysis

Content Provider	IEEE Xplore Digital Library
Author	Ferreira da Silva, A.R.
Copyright Year	2000
Description	Author affiliation: Lisbon Univ., Portugal (Ferreira da Silva, A.R.)
Abstract	Adapted waveform analysis uses libraries of bases and an efficient functional to match a basis to a given signal or family of signals. In particular, wavelet packets and localized trigonometric functions support the expansion of waveforms in bases whose elements have good time-frequency localization properties. In this paper, we use an evolutionary computation approach to conduct time-frequency analysis for signal processing applications. We propose a methodology for evolving parsimonious signal representations, based on the identification of the most well-adapted basis from several dictionaries. Two error criteria are introduced to assess misidentification error rates. One criterion works in transformed space and has a visual interpretation in terms of time-frequency diagrams. The other criterion measures the deviation of the original signal from the reconstructed signal through evolutionary decomposition. Statistical measures of the identification errors involved in the waveform decomposition process are presented.
Starting Page	1102
Ending Page	1109
File Size	733697
Page Count	8
File Format	PDF
ISBN	0780363752
DOI	10.1109/CEC.2000.870770
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time frequency analysis Dictionaries Signal processing Evolutionary computation Signal analysis Libraries Wavelet packets Signal representations Error analysis Fourier series
Content Type	Text
Resource Type	Article

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