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  2. Wavelet - Wikipedia

    en.wikipedia.org/wiki/Wavelet

    This means that there has to exist an auxiliary function, the father wavelet φ in L 2 (R), and that a is an integer. A typical choice is a = 2 and b = 1. The most famous pair of father and mother wavelets is the Daubechies 4-tap wavelet. Note that not every orthonormal discrete wavelet basis can be associated to a multiresolution analysis; for ...

  3. Discrete wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_wavelet_transform

    The filterbank implementation of wavelets can be interpreted as computing the wavelet coefficients of a discrete set of child wavelets for a given mother wavelet (). In the case of the discrete wavelet transform, the mother wavelet is shifted and scaled by powers of two

  4. Morlet wavelet - Wikipedia

    en.wikipedia.org/wiki/Morlet_wavelet

    The Morlet wavelet transform is capable of capturing short bursts of repeating and alternating music notes with a clear start and end time for each note. [citation needed] A modified morlet wavelet was proposed to extract melody from polyphonic music. [11] This methodology is designed for the detection of closed frequency.

  5. Haar wavelet - Wikipedia

    en.wikipedia.org/wiki/Haar_wavelet

    The Haar wavelet. In mathematics, the Haar wavelet is a sequence of rescaled "square-shaped" functions which together form a wavelet family or basis. Wavelet analysis is similar to Fourier analysis in that it allows a target function over an interval to be represented in terms of an orthonormal basis. The Haar sequence is now recognised as the ...

  6. Daubechies wavelet - Wikipedia

    en.wikipedia.org/wiki/Daubechies_wavelet

    Daubechies orthogonal wavelets D2–D20 resp. db1–db10 are commonly used. Each wavelet has a number of zero moments or vanishing moments equal to half the number of coefficients. For example, D2 has one vanishing moment, D4 has two, etc. A vanishing moment limits the wavelets ability to represent polynomial behaviour or information in a ...

  7. Chirplet transform - Wikipedia

    en.wikipedia.org/wiki/Chirplet_transform

    Comparison of wave, wavelet, chirp, and chirplet [1] Chirplet in a computer-mediated reality environment. In signal processing, the chirplet transform is an inner product of an input signal with a family of analysis primitives called chirplets. [2] [3]

  8. Continuous wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Continuous_wavelet_transform

    In definition, the continuous wavelet transform is a convolution of the input data sequence with a set of functions generated by the mother wavelet. The convolution can be computed by using a fast Fourier transform (FFT) algorithm. Normally, the output (,) is a real valued function except when the mother wavelet is complex. A complex mother ...

  9. Wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Wavelet_transform

    In mathematics, a wavelet series is a representation of a square-integrable (real- or complex-valued) function by a certain orthonormal series generated by a wavelet. This article provides a formal, mathematical definition of an orthonormal wavelet and of the integral wavelet transform. [1] [2] [3] [4]