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2. Wavelet - Wikipedia

   en.wikipedia.org/wiki/Wavelet

   Notable contributions to wavelet theory since then can be attributed to George Zweig’s discovery of the continuous wavelet transform (CWT) in 1975 (originally called the cochlear transform and discovered while studying the reaction of the ear to sound), [16] Pierre Goupillaud, Alex Grossmann and Jean Morlet's formulation of what is now known ...

3. 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 ...

4. 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]

5. 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 ...

6. Daubechies wavelet - Wikipedia

   en.wikipedia.org/wiki/Daubechies_wavelet

   Daubechies wavelet approximation can be used to analyze Griffith crack behavior in nonlocal magneto-elastic horizontally shear (SH) wave propagation within a finite-thickness, infinitely long homogeneous isotropic strip. [10] Daubechies wavelet cepstral coefficients can be useful in the context of Parkinson's disease detection.

7. Meyer wavelet - Wikipedia

   en.wikipedia.org/wiki/Meyer_wavelet

   The Meyer wavelet is an orthogonal wavelet proposed by Yves Meyer. [1] As a type of a continuous wavelet , it has been applied in a number of cases, such as in adaptive filters , [ 2 ] fractal random fields , [ 3 ] and multi-fault classification.

8. These Editor-Loved Wide-Calf Boots Come in 8 (!) Different ...

   www.aol.com/editor-loved-wide-calf-boots...

   Calf circumference: 14.17 to 17.32 inches (standard), 15.51 to 18.66 inches (wide calf), 17.95 to 21.10 inches (extra wide calf) Size range: 5 to 13 Heel height: 2.9 inches

9. List of wavelet-related transforms - Wikipedia

   en.wikipedia.org/wiki/List_of_wavelet-related...

   Fast wavelet transform (FWT) Complex wavelet transform; Non or undecimated wavelet transform, the downsampling is omitted; Newland transform, an orthonormal basis of wavelets is formed from appropriately constructed top-hat filters in frequency space; Wavelet packet decomposition (WPD), detail coefficients are decomposed and a variable tree can ...