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wavelet
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A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets are termed a "brief oscillation". A taxonomy of wavelets has been established, based on the number and direction of its pulses. Wavelets are imbued with specific properties that make them useful for signal processing. thumb|Seismic wavelet

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~31 min read

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29 sections
Contents
  • Etymology
  • Wavelet theory
  • Continuous wavelet transforms (continuous shift and scale parameters)
  • Discrete wavelet transforms (discrete shift and scale parameters, continuous in time)
  • Multiresolution based discrete wavelet transforms (continuous in time)
  • Time-causal wavelets
  • Mother wavelet
  • Comparisons with Fourier transform (continuous-time)
  • Definition of a wavelet
  • Scaling filter
  • Scaling function
  • Wavelet function
  • History
  • Timeline
  • Wavelet transforms
  • Generalized transforms
  • Applications
  • As a representation of a signal
  • Wavelet denoising
  • Multiscale climate network
  • List of wavelets
  • Discrete wavelets
  • Continuous wavelets
  • Real-valued
  • Complex-valued
  • See also
  • References
  • Further reading
  • External links

A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets are termed a "brief oscillation". A taxonomy of wavelets has been established, based on the number and direction of its pulses. Wavelets are imbued with specific properties that make them useful for signal processing. thumb|Seismic wavelet

For example, a wavelet could be created to have a frequency of middle C and a short duration of roughly one tenth of a second. If this wavelet were to be convolved with a signal created from the recording of a melody, then the resulting signal would be useful for determining when the middle C note appeared in the song. Mathematically, a wavelet correlates with a signal if a portion of the signal is similar. Correlation is at the core of many practical wavelet applications.

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