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Journal ArticleDOI

Multidimensional polynomial transform algorithm for multidimensional discrete W transform

TLDR
A new polynomial transform algorithm for the MDDWT is obtained that needs no operations on complex data and the number of multiplications for computing an r-dimensional DWT is only 1 times that of the commonly used row-column method.
Abstract
The multidimensional (MD) polynomial transform is used to convert the MD W transform (MDDWT) into a series of one-dimensional (1-D) W transforms (DWTs). Thus, a new polynomial transform algorithm for the MDDWT is obtained. The algorithm needs no operations on complex data. The number of multiplications for computing an r-dimensional DWT is only 1 times that of the commonly used row-column method. The number of additions is also reduced considerably.

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Citations
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Proceedings ArticleDOI

Integer sinusoidal transforms based on lifting factorization

TL;DR: A general method is proposed to factor a discrete W transform (DWT) into lifting steps and additions, and various types of new integer discrete transforms which are floating-point multiplication free are proposed.
Journal ArticleDOI

New algorithms for multidimensional discrete Hartley transform

TL;DR: New fast algorithms for multidimensional discrete Hartley transform (MD-DHT) are presented, based on the index mapping and multiddimensional polynomial transform (PT), which achieves considerable savings on the number of operations.
Journal ArticleDOI

Combined polynomial transform and radix-q algorithm for MD discrete W transform

TL;DR: A radix-q algorithm and a cyclic convolution algorithm are presented for the computation of the 1-D reduced DWT-IIs by using the multidimensional polynomial transform and an index permutation.
Journal ArticleDOI

Fast Computation of MD-DCT-IV/MD-DST-IV by MD-DWT or MD-DCT-II

TL;DR: Based on the relationships, MD-DCT-IV can be efficiently computed by using the fast algorithms for MD- DCT-II orMD-DWT-III or MD-W transform, and it is shown that the proposed fast algorithms save time.
Journal ArticleDOI

Fast algorithms for the 2-D discrete W transform

TL;DR: New fast algorithms are proposed for the two-dimensional type-II, -III and -IV discrete W transform that have a regular computational structure to achieve desirable properties such as regular data indexing and in-place computation, which effectively minimizes the overall computation and implementation costs.
References
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Journal ArticleDOI

The discreteW transform

TL;DR: The relationship among different versions of DWT and their relation with the discrete Fourier transform (DFT) are given and Convolution theorems represented by different version of the DWT are derived.
Journal ArticleDOI

Variable temporal-length 3-D discrete cosine transform coding

TL;DR: The idea is to let the motion activity in each block be very low, while the efficiency of the 3-D DCT coding could be increased, and experimental results show that this technique is indeed very efficient.
Proceedings ArticleDOI

Motion detection using 3D-FFT spectrum

TL;DR: A novel motion detection technique for multiple objects from image sequences is proposed, based on directional filtering in the spatiotemporal frequency domain, using the 3-D fast Fourier transform.
Journal ArticleDOI

A three-dimensional DFT algorithm using the fast Hartley transform

TL;DR: A three-dimensional (3-D) Discrete Fourier Transform (DFT) algorithm for real data using the one-dimensional Fast Hartley Transform (FHT) is introduced that is simpler and retains the speed advantage that is characteristic of the Hartley approach.
Journal ArticleDOI

Implementation of parallel FFT algorithms on distributed memory machines with a minimum overhead of communication

TL;DR: Methods for the many mono-dimensional and multi-dimensional FFT algorithms which minimize the communication overhead are presented and implementations onto mesh and torus topologies are derived by using emulation results of hypercube communications on these topologies.
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