Abstract
A simple, nonrigorous, synthetic view of wavelet theory is presented for both review and tutorial purposes. The discussion includes nonstationary signal analysis, scale versus frequency, wavelet analysis and synthesis, scalograms, wavelet frames and orthonormal bases, the discrete-time case, and applications of wavelets in signal processing. The main definitions and properties of wavelet transforms are covered, and connections among the various fields where results have been developed are shown
Keywords
WaveletDiscrete wavelet transformSignal processingOrthonormal basisComputer scienceSIGNAL (programming language)Wavelet transformLegendre waveletArtificial intelligenceSpeech recognitionGabor waveletPattern recognition (psychology)AlgorithmDigital signal processingProgramming languageComputer hardware
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Publication Info
- Year
- 1991
- Type
- article
- Volume
- 8
- Issue
- 4
- Pages
- 14-38
- Citations
- 2751
- Access
- Closed
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Cite This
Olivier Rioul,
Martin Vetterli
(1991).
Wavelets and signal processing.
IEEE Signal Processing Magazine
, 8
(4)
, 14-38.
https://doi.org/10.1109/79.91217
Identifiers
- DOI
- 10.1109/79.91217