文件名称:Fastdiscretecurvelettransforms
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This paper describes two digital implementations of a new mathematical transform, namely,
the second generation curvelet transform [12, 10] in two and three dimensions. The first digital
transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is
based on the wrapping of specially selected Fourier samples. The two implementations essentially
differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both
digitaltransformations return a table of digital curvelet coefficients indexed by a scale
parameter, anorientation parameter, and a spatial location parameter. And both implementations are
fast in
the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are
also invertible, with rapid inversion algorithms of about the same complexity.-This paper describes two digital implementations of a new mathematical transform, namely,
the second generation curvelet transform [12, 10] in two and three dimensions. The first digital
transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is
based on the wrapping of specially selected Fourier samples. The two implementations essentially
differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both
digitaltransformations return a table of digital curvelet coefficients indexed by a scale
parameter, anorientation parameter, and a spatial location parameter. And both implementations are
fast in
the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are
also invertible, with rapid inversion algorithms of about the same complexity.
the second generation curvelet transform [12, 10] in two and three dimensions. The first digital
transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is
based on the wrapping of specially selected Fourier samples. The two implementations essentially
differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both
digitaltransformations return a table of digital curvelet coefficients indexed by a scale
parameter, anorientation parameter, and a spatial location parameter. And both implementations are
fast in
the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are
also invertible, with rapid inversion algorithms of about the same complexity.-This paper describes two digital implementations of a new mathematical transform, namely,
the second generation curvelet transform [12, 10] in two and three dimensions. The first digital
transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is
based on the wrapping of specially selected Fourier samples. The two implementations essentially
differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both
digitaltransformations return a table of digital curvelet coefficients indexed by a scale
parameter, anorientation parameter, and a spatial location parameter. And both implementations are
fast in
the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are
also invertible, with rapid inversion algorithms of about the same complexity.
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Fast discrete curvelet transforms.pdf