Wavelet compression — is a form of data compression well suited for image compression (sometimes also video compression and audio compression). The goal is to store image data in as little space as possible in a file. Wavelet compression can be either lossless or… … Wikipedia
Noise, vibration, and harshness — (NVH), also known as noise and vibration (N V), is the study and modification of the noise and vibration characteristics of vehicles, particularly cars and trucks. While noise and vibration can be readily measured, Harshness is a subjective… … Wikipedia
Noise, Vibration, and Harshness — Noise, Vibration, and Harshness, also known as Noise and Vibration, abbreviated to NVH and N V respectively, is the name given to the field of measuring, and modifying, the noise and vibration characteristics of vehicles, particularly cars and… … Wikipedia
Wavelet modulation — Wavelet modulation, also known as fractal modulation, is a modulation technique that makes use of wavelet transformations to represent the data being transmitted. One of the objectives of this type of modulation is to send data at multiple rates… … Wikipedia
Wavelet transform — An example of the 2D discrete wavelet transform that is used in JPEG2000. 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 … Wikipedia
Perlin noise — is a procedural texture primitive, used by visual effects artists to increase the appearance of realism in computer graphics. This is a type of Gradient noise. The function has a pseudo random appearance, yet all of its visual details are the… … Wikipedia
Value noise — is a type of noise commonly used as a procedural texture primitive in computer graphics. It is conceptually different, and often confused with gradient noise examples of which are the Perlin noise and Simplex noise. This method consists of a… … Wikipedia
Gradient noise — is a type of noise commonly used as a procedural texture primitive in computer graphics. It is conceptually different, and often confused with value noise. This method consists of a creation of a lattice of random gradients, which are then… … Wikipedia
Continuous wavelet transform — of frequency breakdown signal. Used symlet with 5 vanishing moments. A continuous wavelet transform (CWT) is used to divide a continuous time function into wavelets. Unlike Fourier transform, the continuous wavelet transform possesses the ability … Wikipedia
Stationäre Wavelet-Transformation — der Lena unter Verwendung des Haar Wavelets Die stationäre Wavelet Transformation (SWT)[1] ist ein Wavelet Transformationsalgorithmus, der die fehlende Verschiebungsinvarianz der diskreten Wavelet Transformation (DWT) be … Deutsch Wikipedia