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Signal Processing   (Mathematica Guide)
Mathematica has powerful capabilities for explicit signal processing with large volumes of data, imported and exported in many formats, and for symbolic analysis of signal ...
Data Transforms and Smoothing   (Mathematica Guide)
Directly integrated into Mathematica's uniform architecture for handling lists of data is an array of highly optimized algorithms for transforming and smoothing datasets that ...
Numerical Data   (Mathematica Guide)
Huge numerical datasets are routine for Mathematica. Its powerful array primitives make large-scale array manipulation both easy to specify and highly efficient. And its ...
Calculus   (Mathematica Guide)
In calculus even more than other areas, Mathematica packs centuries of mathematical development into a small number of exceptionally powerful functions. Continually enhanced ...
Generalized Functions   (Mathematica Guide)
Mathematica's symbolic character allows it to handle generalized functions or "distributions" as a direct extension of classical mathematical functions, and to represent ...
Overtones   (Audio Package Symbol)
Overtones is an option to Waveform that specifies the number of overtones to be present in a standard waveform when created with Fourier summation.
NDTFourierTransform   (Fourier Series Package Symbol)
NDTFourierTransform[expr, n, \[Omega]] gives a numerical approximation to the discrete time Fourier transform of expr evaluated at the numerical value \[Omega], where expr is ...
NFourierCosTransform   (Fourier Series Package Symbol)
NFourierCosTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier cosine transform of expr evaluated at the numerical value \[Omega], where expr is a ...
NFourierSinTransform   (Fourier Series Package Symbol)
NFourierSinTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier sine transform of expr evaluated at the numerical value \[Omega], where expr is a ...
NFourierTransform   (Fourier Series Package Symbol)
NFourierTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier transform of expr evaluated at the numerical value \[Omega], where expr is a function of t.
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