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  2. Multidimensional transform - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_transform

    The 2D Z-transform, similar to the Z-transform, is used in multidimensional signal processing to relate a two-dimensional discrete-time signal to the complex frequency domain in which the 2D surface in 4D space that the Fourier transform lies on is known as the unit surface or unit bicircle.

  3. Littlewood–Paley theory - Wikipedia

    en.wikipedia.org/wiki/Littlewood–Paley_theory

    Stein later extended the theory to higher dimensions using real ... then f ρ is defined via its Fourier transform ... (1978), "Book Review: Littlewood-Paley ...

  4. Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fourier_transform

    In mathematics, the Fourier transform (FT) is an integral transform that takes a function as input and outputs another function that describes the extent to which various frequencies are present in the original function. The output of the transform is a complex-valued function of frequency.

  5. Multidimensional signal processing - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_signal...

    Processing in multi-dimension (m-D) requires more complex algorithms, compared to the 1-D case, to handle calculations such as the fast Fourier transform due to more degrees of freedom. [1] In some cases, m-D signals and systems can be simplified into single dimension signal processing methods, if the considered systems are separable.

  6. Dirac delta function - Wikipedia

    en.wikipedia.org/wiki/Dirac_delta_function

    5.1 Higher dimensions. ... the Dirac delta function was popularized by Paul Dirac in this book The Principles ... the Fourier transform of a distribution is defined ...

  7. Fast Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fast_Fourier_transform

    A fast Fourier transform (FFT) is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT). A Fourier transform converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa.

  8. Harmonic analysis - Wikipedia

    en.wikipedia.org/wiki/Harmonic_analysis

    Harmonic analysis is a branch of mathematics concerned with investigating the connections between a function and its representation in frequency.The frequency representation is found by using the Fourier transform for functions on unbounded domains such as the full real line or by Fourier series for functions on bounded domains, especially periodic functions on finite intervals.

  9. Pinsky phenomenon - Wikipedia

    en.wikipedia.org/wiki/Pinsky_phenomenon

    This prototype example can be suitably generalized to Fourier integral expansions in higher dimensions, both in Euclidean space and other non-compact rank-one symmetric spaces. Also related are eigenfunction expansions on a geodesic ball in a rank-one symmetric space, but one must consider boundary conditions.

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