Introducing wavelets and time--frequency analysis [Introduction to the special issue]

Introducing wavelets and time--frequency analysis [Introduction to the special issue]

The wavelet transform has emerged over recent years as a powerful time--frequency analysis and signal-coding tool suitable for use in the manipulation of complex nonstationary signals, and it has been in the forefront of many recent developments in biomedical and biological signal processing.

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Bibliographische Detailangaben
Veröffentlicht in:IEEE engineering in medicine and biology magazine 2009-09, Vol.28 (5), p.13-13
Hauptverfasser: Guido, Rodrigo C., Addison, Paul S., Walker, James
Format: Artikel
Sprache:eng
Schlagworte:
Biomedical signal processing
Biomedical Technology
Continuous wavelet transforms
Discrete wavelet transforms
Pathology
Signal analysis
Signal processing
Signal processing algorithms
Signal Processing, Computer-Assisted
Speech analysis
Time Factors
Wavelet analysis
Wavelet transforms
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Beschreibung
Zusammenfassung:The wavelet transform has emerged over recent years as a powerful time--frequency analysis and signal-coding tool suitable for use in the manipulation of complex nonstationary signals, and it has been in the forefront of many recent developments in biomedical and biological signal processing.
ISSN:0739-5175
1937-4186
DOI:10.1109/MEMB.2009.934243