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Journal ArticleDOI

DIFFT: A Fast and Accurate Algorithm for Fourier Transform Integrals of Discontinuous Functions

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TLDR
A new highly accurate fast algorithm is proposed by employing the analytical Fourier transforms of Gauss-Chebyshev-Lobatto interpolation polynomials and the scaled fast Fourier transform to achieve the exponential accuracy for evaluation of Fourier spectra at the whole frequency range with a low computational complexity.
Abstract
A new highly accurate fast algorithm is proposed for computing the Fourier transform integrals of discontinuous functions (DIFFT) by employing the analytical Fourier transforms of Gauss-Chebyshev-Lobatto interpolation polynomials and the scaled fast Fourier transform. This algorithm can achieve the exponential accuracy for evaluation of Fourier spectra at the whole frequency range with a low computational complexity. Furthermore, the algorithm allows the adaptive sampling densities for different sections of a piecewise smooth function. Numerical experiments are shown for the applications in computational electromagnetics.

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Journal ArticleDOI

A high accuracy conformal method for evaluating the discontinuous fourier transform

TL;DR: A highly accurate, fast algorithm is proposed to evaluate the flnite Fourier transform of both continuous and discontinues functions, which is not restricted by the Nyquist sampling theorem, thus avoiding the aliasing distortions that exist in other traditional methods.
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Discontinuous Fast Fourier Transform with Triangle Mesh for Two-dimensional Discontinuous Functions

TL;DR: This paper extends the discontinuous fast Fourier transform (DFFT) algorithm to deal with the two dimensional function with a discontinuous boundary of arbitrary shape and discretizes the support domain of the function by triangle mesh, which reduces the stair-casing error of an orthogonal grid required by FFT.
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An accurate conformal fourier transform method for 2d discontinuous functions

TL;DR: A highly accurate, fast conformal Fourier transform (CFT) algorithm is proposed to evaluate the flnite Fourier Transform of 2D discontinuous functions to take full advantages of high order interpolation and Gaussian quadrature methods to achieve highly accurate Fourier integration results with a low sampling density and small computation time.
Journal ArticleDOI

Quad-Based Fourier Transform for Efficient Diffraction Synthesis

TL;DR: This work proposes a technique based on a closed‐form solution of the continuous Fourier transform for simple vector primitives (quads) and proposes a hierarchical and progressive evaluation to achieve real‐time performance.
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WFRFT Secure Communication Method Based on Chaotic Parameter Pool

TL;DR: A random modulation order parameter pool is established by applying chaos technology and can greatly increase the bit error rate and processing time of unauthorized receivers, and a WFRFT secure communication method based on the chaotic parameter pool (CPP) is proposed.
References
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Journal ArticleDOI

The fractional Fourier transform and applications

TL;DR: The fractional Fourier transform and the corresponding fast algorithm are useful for such applications as computing DFTs of sequences with prime lengths, computing D FTs of sparse sequences, analyzing sequences with noninteger periodicities, performing high-resolution trigonometric interpolation, detecting lines in noisy images, and detecting signals with linearly drifting frequencies.
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A fast, high-order quadrature sampled pre-corrected fast-fourier transform for electromagnetic scattering

TL;DR: It is shown that the QS‐PCFFT maintains high‐order convergence and scales as O(N) in memory and O( N log N) in floating point operations.
Journal ArticleDOI

Fast Fourier Transforms of Piecewise Constant Functions

TL;DR: The algorithm is based on the Lagrange interpolation formula and the Green's theorem, which are used to preprocess the data before applying the fast Fourier transform, and readily generalizes to higher dimensions and to piecewise smooth functions.
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Fast Fourier transform for discontinuous functions

TL;DR: A fast algorithm for the evaluation of the Fourier transform of piecewise smooth functions with uniformly or nonuniformly sampled data by using a double interpolation procedure combined with the fast Fouriertransform (FFT) algorithm is presented.
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