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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. 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 ]

  4. 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}} ,

  5. Huygens principle of double refraction - Wikipedia

    en.wikipedia.org/wiki/Huygens_principle_of...

    The new wavefront for the o-ray will be tangent to the spherical wavelets, while the new wavefront for the e-ray will be tangent to the ellipsoidal wavelets. Each plane wavefront propagates straight ahead but with different velocities: V 0 for the o-ray and V e for the e-ray. The direction of the k-vector is always perpendicular to the ...

  6. Curvelet - Wikipedia

    en.wikipedia.org/wiki/Curvelet

    Wavelets generalize the Fourier transform by using a basis that represents both location and spatial frequency. For 2D or 3D signals, directional wavelet transforms go further, by using basis functions that are also localized in orientation. A curvelet transform differs from other directional wavelet transforms in that the degree of ...

  7. Digital signal processing - Wikipedia

    en.wikipedia.org/wiki/Digital_signal_processing

    In numerical analysis and functional analysis, a discrete wavelet transform is any wavelet transform for which the wavelets are discretely sampled. As with other wavelet transforms, a key advantage it has over Fourier transforms is temporal resolution: it captures both frequency and location information.

  8. Coiflet - Wikipedia

    en.wikipedia.org/wiki/Coiflet

    Coiflets are discrete wavelets designed by Ingrid Daubechies, at the request of Ronald Coifman, to have scaling functions with vanishing moments. The wavelet is near symmetric, their wavelet functions have N / 3 {\displaystyle N/3} vanishing moments and scaling functions N / 3 − 1 {\displaystyle N/3-1} , and has been used in many applications ...

  9. Cohen–Daubechies–Feauveau wavelet - Wikipedia

    en.wikipedia.org/wiki/Cohen–Daubechies...

    Cohen–Daubechies–Feauveau wavelets are a family of biorthogonal wavelets that was made popular by Ingrid Daubechies. [1] [2] These are not the same as the orthogonal Daubechies wavelets, and also not very similar in shape and properties. However, their construction idea is the same.