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Fourier domain
"... Title Shape simplification through polygonal approximation inthe fourier domain ..."
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Title Shape simplification through polygonal approximation inthe fourier domain
Simple computation of the eigencomponents of a subdivision matrix in the Fourier domain
 Advances in Multiresolution for Geometric Modelling
, 2004
"... Fourier domain ..."
Resampling images in Fourier domain
, 2014
"... When simulating sky images, one often takes a galaxy image F (x) defined by a set of pixelized samples and an interpolation kernel, and then wants to produce a new sampled image representing this galaxy as it would appear with a different pointspread function, a rotation, shearing, or magnification ..."
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applications it is essential that the resampled image be accurate to better than 1 part in 103, so in this paper we first use standard Fourier techniques to show that Fourierdomain interpolation with a wrapped sinc function yields the exact value of F ̃ (u) in terms of the input samples and kernel
Optimal filtering in fractional Fourier domains
 IN PROC. IEEE INT. CONF. ACOUST., SPEECH, SIGNAL PROCESSING
, 1997
"... For timeinvariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N log N) time, gives the minimum meansquareerror estimate of the original undistorted signal. For timevarying degradations and nonstationary processes, ..."
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Cited by 34 (11 self)
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For timeinvariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N log N) time, gives the minimum meansquareerror estimate of the original undistorted signal. For timevarying degradations and nonstationary processes
Fractional Fourier domains
 SIGNAL PROCESSING
, 1995
"... It is customary to define the timefrequency plane such that time and frequency are mutually orthogonal coordinates. Representations of a signal in these domains are related by the Fourier transform. We consider a continuum of “fractional ” domains making arbitrary angles with the time and frequency ..."
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Cited by 9 (3 self)
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It is customary to define the timefrequency plane such that time and frequency are mutually orthogonal coordinates. Representations of a signal in these domains are related by the Fourier transform. We consider a continuum of “fractional ” domains making arbitrary angles with the time
in the fractional Fourier domain
, 2007
"... We describe the implementation of a watermark embedding technique for images using the discrete fractional Fourier transform. The idea is that a 2D discrete fractional Fourier transform of the image is computed. In this transform domain, a normal distributed random sequence with certain characterist ..."
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We describe the implementation of a watermark embedding technique for images using the discrete fractional Fourier transform. The idea is that a 2D discrete fractional Fourier transform of the image is computed. In this transform domain, a normal distributed random sequence with certain
Chirp filtering in the fractional Fourier domain
"... In the Wigner domain of a onedimensional function, a certain chirp term represents a rotated line delta function. On the other hand, a fractional Fourier transform (FRT) can be associated with a rotation of the Wignerdistribution function by an angle connected with the FRT order. Thus with the FRT ..."
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Cited by 10 (4 self)
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In the Wigner domain of a onedimensional function, a certain chirp term represents a rotated line delta function. On the other hand, a fractional Fourier transform (FRT) can be associated with a rotation of the Wignerdistribution function by an angle connected with the FRT order. Thus
Localization of Calderon Convolution in the Fourier Domain
"... Abstract. In this paper, we introduce and study the localization of Calderon convolution for a finitely generated shiftinvariant space in the Fourier domain. We say that a linear space V of functions on R d is shiftinvariant if f ∈ V implies that f( · − k) ∈ V for all k ∈ Z d. For instance, the ..."
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Abstract. In this paper, we introduce and study the localization of Calderon convolution for a finitely generated shiftinvariant space in the Fourier domain. We say that a linear space V of functions on R d is shiftinvariant if f ∈ V implies that f( · − k) ∈ V for all k ∈ Z d. For instance
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