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1. Wavelet: 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". (Function for integral Fourier-like transform) [100%] 2023-09-02 [Wavelets] [Time–frequency analysis]...
2. Wavelet: A wavelet is a kind of mathematical function used to divide a given function or continuous-time signal into different frequency components and study each component with a resolution that matches its scale. A wavelet transform is the representation of ... [100%] 2023-09-28 [Numerical analysis] [Signal processing]...
3. WaveNet: WaveNet es una red neuronal profunda para generar audio muestra a muestra. Está creada por investigadores de la empresa de inteligencia artificial de Londres DeepMind. [83%] 2024-06-21
4. Daubechies wavelets: A wavelet is a function $\psi \in L ^ { 2 } ( \mathbf{R} )$ that yields a basis in $L ^ { 2 } ( \mathbf{R} )$ by means of translations and dyadic dilations of itself, i.e., \begin{equation*} f ( x ) = \sum _ { j = - \infty } ^ { \infty ... (Mathematics) [82%] 2023-09-12
5. Clifford wavelets: A pair of families of Clifford algebra-valued functions satisfying appropriate smoothness, size, cancellation, and orthogonality conditions (cf. also Clifford algebra). (Mathematics) [82%] 2023-09-14
6. Diffusion wavelets: Diffusion wavelets are a fast multiscale framework for the analysis of functions on discrete (or discretized continuous) structures like graphs, manifolds, and point clouds in Euclidean space. Diffusion wavelets are an extension of classical wavelet theory from harmonic analysis. [82%] 2023-12-30 [Wavelets]
7. Ricker wavelet: In mathematics and numerical analysis, the Ricker wavelet is the negative normalized second derivative of a Gaussian function, i.e., up to scale and normalization, the second Hermite function. It is a special case of the family of continuous wavelets ... (Wavelet proportional to the second derivative of a Gaussian) [70%] 2023-07-16 [Continuous wavelets]
8. Ricker wavelet: In mathematics and numerical analysis, the Ricker wavelet is the negative normalized second derivative of a Gaussian function, i.e., up to scale and normalization, the second Hermite function. It is a special case of the family of continuous wavelets ... (Wavelet proportional to the second derivative of a Gaussian) [70%] 2023-09-14 [Continuous wavelets]
9. Bruno Wavelet: Bruno Wavelet (born 20 November 1974) is a French sprinter who specialized in the 400 metres. He was born in Dunkerque. (French sprinter) [70%] 2022-10-15 [1974 births] [Living people]...
10. Beta wavelet: Continuous wavelets of compact support alpha can be built, which are related to the beta distribution. The process is derived from probability distributions using blur derivative. [70%] 2023-08-20 [Continuous wavelets]
11. Spline wavelet: In the mathematical theory of wavelets, a spline wavelet is a wavelet constructed using a spline function. There are different types of spline wavelets. (Wavelet constructed using a spline function) [70%] 2023-06-19 [Wavelets] [Continuous wavelets]...
12. Ricker wavelet: In mathematics and numerical analysis, the Ricker wavelet is the negative normalized second derivative of a Gaussian function, i.e., up to scale and normalization, the second Hermite function. It is a special case of the family of continuous wavelets ... (Wavelet proportional to the second derivative of a Gaussian) [70%] 2024-01-21 [Continuous wavelets]
13. Morlet wavelet: In mathematics, the Morlet wavelet (or Gabor wavelet) is a wavelet composed of a complex exponential (carrier) multiplied by a Gaussian window (envelope). This wavelet is closely related to human perception, both hearing and vision. [70%] 2022-08-26 [Continuous wavelets]
14. Wavelet analysis: A wavelet is, roughly speaking, a (wave-like) function that is well localized in both time and frequency. A well-known example is the Mexican hat wavelet $$ \tag{a1 } g( x) = ( 1- x ^ {2} ) e ^ {- x ^ {2} /2 }. (Mathematics) [70%] 2023-10-18
15. 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 ... (First known wavelet basis) [70%] 2023-12-28 [Orthogonal wavelets]
16. Daubechies wavelet: The Daubechies wavelets, based on the work of Ingrid Daubechies, are a family of orthogonal wavelets defining a discrete wavelet transform and characterized by a maximal number of vanishing moments for some given support. With each wavelet type of this ... (Orthogonal wavelets) [70%] 2023-12-03 [Orthogonal wavelets]
17. Poisson wavelet: In mathematics, in functional analysis, several different wavelets are known by the name Poisson wavelet. In one context, the term "Poisson wavelet" is used to denote a family of wavelets labeled by the set of positive integers, the members of ... [70%] 2021-12-22 [Wavelets] [Time–frequency analysis]...
18. Strömberg wavelet: In mathematics, the Strömberg wavelet is a certain orthonormal wavelet discovered by Jan-Olov Strömberg and presented in a paper published in 1983. Even though the Haar wavelet was earlier known to be an orthonormal wavelet, Strömberg wavelet was the ... [70%] 2023-10-18 [Wavelets] [Continuous wavelets]...
19. Continuous wavelet: In numerical analysis, continuous wavelets are functions used by the continuous wavelet transform. These functions are defined as analytical expressions, as functions either of time or of frequency. (Functions used by the continuous wavelet transform) [70%] 2023-09-16 [Continuous wavelets] [Numerical analysis]...
20. Shannon wavelet: In functional analysis, a Shannon wavelet may be either of real or complex type. Signal analysis by ideal bandpass filters defines a decomposition known as Shannon wavelets (or sinc wavelets). [70%] 2022-11-12 [Continuous wavelets]