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  2. Wavelet - Wikipedia

    en.wikipedia.org/wiki/Wavelet

    Wavelet OFDM is the basic modulation scheme used in HD-PLC (a power line communications technology developed by Panasonic), and in one of the optional modes included in the IEEE 1901 standard. Wavelet OFDM can achieve deeper notches than traditional FFT OFDM, and wavelet OFDM does not require a guard interval (which usually represents ...

  3. Orthogonal wavelet - Wikipedia

    en.wikipedia.org/wiki/Orthogonal_wavelet

    A necessary condition for the orthogonality of the wavelets is that the scaling sequence is orthogonal to any shifts of it by an even number of coefficients: ∑ n ∈ Z a n a n + 2 m = 2 δ m , 0 {\displaystyle \sum _{n\in \mathbb {Z} }a_{n}a_{n+2m}=2\delta _{m,0}} ,

  4. Wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Wavelet_transform

    Wavelets have some slight benefits over Fourier transforms in reducing computations when examining specific frequencies. However, they are rarely more sensitive, and indeed, the common Morlet wavelet is mathematically identical to a short-time Fourier transform using a Gaussian window function. [ 13 ]

  5. Lifting scheme - Wikipedia

    en.wikipedia.org/wiki/Lifting_scheme

    Lifting sequence consisting of two steps. The lifting scheme is a technique for both designing wavelets and performing the discrete wavelet transform (DWT). In an implementation, it is often worthwhile to merge these steps and design the wavelet filters while performing the wavelet transform.

  6. Discrete wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_wavelet_transform

    In this case biorthogonal 3.5 wavelets were chosen with a level N of 10. Biorthogonal wavelets are commonly used in image processing to detect and filter white Gaussian noise, [22] due to their high contrast of neighboring pixel intensity values. Using these wavelets a wavelet transformation is performed on the two dimensional image.

  7. Continuous wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Continuous_wavelet_transform

    Continuous wavelet transform of frequency breakdown signal. Used symlet with 5 vanishing moments.. In mathematics, the continuous wavelet transform (CWT) is a formal (i.e., non-numerical) tool that provides an overcomplete representation of a signal by letting the translation and scale parameter of the wavelets vary continuously.

  8. Haar wavelet - Wikipedia

    en.wikipedia.org/wiki/Haar_wavelet

    The study of wavelets, and even the term "wavelet", did not come until much later. As a special case of the Daubechies wavelet, the Haar wavelet is also known as Db1. The Haar wavelet is also the simplest possible wavelet. The technical disadvantage of the Haar wavelet is that it is not continuous, and therefore not differentiable.

  9. Category:Wavelets - Wikipedia

    en.wikipedia.org/wiki/Category:Wavelets

    The theory of wavelets studies particular bases of function spaces, with a view to applications; they are a key tool in time–frequency analysis. Subcategories This category has the following 3 subcategories, out of 3 total.