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Journal ArticleDOI

Fast computation of discrete cosine transform through fast Hartley transform

Henrique S. Malvar
- 27 Mar 1986 - 
- Vol. 22, Iss: 7, pp 352-353
TLDR
A relationship between the discrete cosine transform (DCT) and the discrete Hartleytransform (DHT) is derived and it leads to a new fast and numerically stable algorithm for the DCT.
Abstract
A relationship between the discrete cosine transform (DCT) and the discrete Hartley transform (DHT) is derived. It leads to a new fast and numerically stable algorithm for the DCT.

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Citations
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Journal ArticleDOI

The LOT: transform coding without blocking effects

TL;DR: An exact derivation of an optimal lapped orthogonal transform (LOT) is presented, related to the discrete cosine transform (DCT) in such a way that a fast algorithm for a nearly optimal LOT is derived.
Journal ArticleDOI

Lapped transforms for efficient transform/subband coding

TL;DR: Two lapped transforms for subband/transform coding of signals are introduced: a version of the lapped orthogonal transform (LOT), which can be efficiently computed for any transform length; and the modulated lapped transform (MLT), which is based on a modulated quadrature mirror (QMF) bank.
Journal ArticleDOI

The Fast Hartley Transform Algorithm

TL;DR: Through use of the fast Hartley transform, discrete cosine transforms (DCT) and discrete Fourier transforms (DFT) can be obtained and the recursive nature of the FHT algorithm derived in this paper enables us to generate the next higher order FHT from two identical lower order F HT's.
Journal ArticleDOI

Fast algorithm for computing discrete cosine transform

TL;DR: An efficient method for computing the discrete cosine transform (DCT) is proposed, which is a generalization of the radix 2 DCT algorithm, and the recursive properties of the DCT for an even length input sequence are derived.
Journal ArticleDOI

Fast computation of the discrete cosine transform and the discrete Hartley transform

TL;DR: A new factorization of the discrete Hartley transform is presented and it is used to derive new algorithms for the DHT and the discrete cosine transform with reduced number of multiplications.
References
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Digital Coding of Waveforms

Peter No
Journal ArticleDOI

Fast algorithms for the discrete W transform and for the discrete Fourier transform

TL;DR: A systematic method of sparse matrix factorization is developed for all four versions of the discrete W transform, the discrete cosine transform, and the discrete sine transform as well as for the discrete Fourier transform, which makes new algorithms more efficient than conventional algorithms.
Journal ArticleDOI

Discrete Hartley transform

TL;DR: The discrete Hartley transform (DHT) resembles the discrete Fourier transform (DFT) but is free from two characteristics of the DFT that are sometimes computationally undesirable and promises to speed up Fourier-transform calculations.
Journal ArticleDOI

Simple FFT and DCT algorithms with reduced number of operations

TL;DR: A simple algorithm for the evaluation of discrete Fourier transforms (DFT) and discrete cosine transforms (DCT) is presented, which achieves a substantial decrease in the number of additions when compared to currently used FFT algorithms.
Journal ArticleDOI

On the Computation of the Discrete Cosine Transform

TL;DR: An N -point discrete Fourier transform (DFT) algorithm can be used to evaluate a discrete cosine transform by a simple rearrangement of the input data.
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