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276,545
A Signal Processing Approach To Fair Surface Design
, 1995
"... In this paper we describe a new tool for interactive freeform fair surface design. By generalizing classical discrete Fourier analysis to twodimensional discrete surface signals  functions defined on polyhedral surfaces of arbitrary topology , we reduce the problem of surface smoothing, or fai ..."
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Cited by 654 (15 self)
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In this paper we describe a new tool for interactive freeform fair surface design. By generalizing classical discrete Fourier analysis to twodimensional discrete surface signals  functions defined on polyhedral surfaces of arbitrary topology , we reduce the problem of surface smoothing
On the Use of Windows for Harmonic Analysis With the Discrete Fourier Transform
 Proc. IEEE
, 1978
"... AhmwThis Pw!r mak = available a concise review of data win compromise consists of applying windows to the sampled daws pad the ^ affect On the Of in the data set, or equivalently, smoothing the spectral samples. '7 of aoise9 m the ptesence of sdroag bar The two operations to which we subject ..."
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Cited by 668 (0 self)
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AhmwThis Pw!r mak = available a concise review of data win compromise consists of applying windows to the sampled daws pad the ^ affect On the Of in the data set, or equivalently, smoothing the spectral samples. '7 of aoise9 m the ptesence of sdroag bar The two operations to which we subject the data are momc mterference. We dm call attention to a number of common = in be rp~crh of windows den used with the fd F ~ sampling and windowing. These operations can be performed transform. This paper includes a comprehensive catdog of data win in either order. Sampling is well understood, windowing is less related to sampled windows for DFT's. HERE IS MUCH signal processing devoted to detection and estimation. Detection is the task of determiningif a specific signal set is present in an observation, while estimation is the task of obtaining the values of the parameters
The Contourlet Transform: An Efficient Directional Multiresolution Image Representation
 IEEE TRANSACTIONS ON IMAGE PROCESSING
"... The limitations of commonly used separable extensions of onedimensional transforms, such as the Fourier and wavelet transforms, in capturing the geometry of image edges are well known. In this paper, we pursue a “true” twodimensional transform that can capture the intrinsic geometrical structure t ..."
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Cited by 513 (20 self)
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The limitations of commonly used separable extensions of onedimensional transforms, such as the Fourier and wavelet transforms, in capturing the geometry of image edges are well known. In this paper, we pursue a “true” twodimensional transform that can capture the intrinsic geometrical structure
The FourierSeries Method For Inverting Transforms Of Probability Distributions
, 1991
"... This paper reviews the Fourierseries method for calculating cumulative distribution functions (cdf's) and probability mass functions (pmf's) by numerically inverting characteristic functions, Laplace transforms and generating functions. Some variants of the Fourierseries method are remar ..."
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Cited by 211 (52 self)
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by aliasing; this explains the name of the method. This Fourier analysis applies to the inversion problem because the Fourier coefficients are just values of the transform. The mathematical centerpiece of the Fourierseries method is the Poisson summation formula, which identifies the discretization error
On group Fourier analysis and symmetry preserving discretizations of PDEs
 Proc. IEEE Conf. on Decision and Control
, 2010
"... In this paper we review some group theoretic techniques applied to discretizations of PDEs. Inspired by the recent years active research in Lie group and exponential time integrators for differential equations, we will in the first part of the article present algorithms for computing matrix exponen ..."
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Cited by 5 (0 self)
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exponentials based on Fourier transforms on finite groups. As an example, we consider spherically symmetric PDEs, where the discretization preserves the 120 symmetries of the icosahedral group. This motivates the study of spectral element discretizations based on triangular subdivisions. In the second part
Mellin Transforms And Asymptotics: Harmonic Sums
 THEORETICAL COMPUTER SCIENCE
, 1995
"... This survey presents a unified and essentially selfcontained approach to the asymptotic analysis of a large class of sums that arise in combinatorial mathematics, discrete probabilistic models, and the averagecase analysis of algorithms. It relies on the Mellin transform, a close relative of the i ..."
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Cited by 202 (12 self)
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This survey presents a unified and essentially selfcontained approach to the asymptotic analysis of a large class of sums that arise in combinatorial mathematics, discrete probabilistic models, and the averagecase analysis of algorithms. It relies on the Mellin transform, a close relative
FOURIER ANALYSIS IN NUMBER THEORY
"... 2.1. Discrete Fourier transform 1 2.2. Fourier analysis on finite abelian groups 2 ..."
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2.1. Discrete Fourier transform 1 2.2. Fourier analysis on finite abelian groups 2
Local Fourier Analysis
"... Classic convergence analysis for geometric multigrid The constant coefficient case The classic convergence analysis for multigrid methods assumes: • ddimensional PDE with constant coefficients (−1)q d∑ i=1 d 2q dx2qi u(x) = g(x), x ∈ Ω = (0, 1)d, q ≥ 1. • Periodic boundary conditions on ∂Ω or an i ..."
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Classic convergence analysis for geometric multigrid The constant coefficient case The classic convergence analysis for multigrid methods assumes: • ddimensional PDE with constant coefficients (−1)q d∑ i=1 d 2q dx2qi u(x) = g(x), x ∈ Ω = (0, 1)d, q ≥ 1. • Periodic boundary conditions on ∂Ω
Results 1  10
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276,545