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Journal ArticleDOI

Fast decimation-in-time algorithms for a family of discrete sine and cosine transforms

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TLDR
Fast decimation-in-time algorithms for the various discrete cosine transforms and discrete sine transforms are systematically developed, based on a radix-2 factorization of the transformation matrix, and indicate these to be attractive alternatives to existing algorithms in terms of computational complexity and structural simplicity.
Abstract
Fast decimation-in-time (DIT) algorithms for the various discrete cosine transforms (DCT) and discrete sine transforms (DST) are systematically developed, based on a radix-2 factorization of the transformation matrix. The results indicate these to be attractive alternatives to existing algorithms in terms of computational complexity and structural simplicity.

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Citations
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Journal ArticleDOI

Conjugate Gradient Methods for Toeplitz Systems

Raymond H. Chan, +1 more
- 01 Sep 1996 - 
TL;DR: Some of the latest developments in using preconditioned conjugate gradient methods for solving Toeplitz systems are surveyed, finding that the complexity of solving a large class of $n-by-n$ ToePlitz systems is reduced to $O(n \log n)$ operations.
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.

A fast Karhunen-Loeve transform for a class of random processes

TL;DR: The Karhunter-Loeve transform for a class of signals is proven to be a set of periodic sine functions and this Karhunen- Loeve series expansion can be obtained via an FFT algorithm, which could be useful in data compression and other mean-square signal processing applications.
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

The Algebraic Approach to the Discrete Cosine and Sine Transforms and Their Fast Algorithms

TL;DR: This paper presents an algebraic characterization of the important class of discrete cosine and sine transforms as decomposition matrices of certain regular modules associated with four series of Chebyshev polynomials.
References
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Journal ArticleDOI

Discrete Cosine Transform

TL;DR: In this article, a discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed, which can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
Journal ArticleDOI

A Fast Computational Algorithm for the Discrete Cosine Transform

TL;DR: A Fast Discrete Cosine Transform algorithm has been developed which provides a factor of six improvement in computational complexity when compared to conventional DiscreteCosine Transform algorithms using the Fast Fourier Transform.
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

Adaptive Coding of Monochrome and Color Images

TL;DR: In this article, an efficient adaptive encoding technique using a new implementation of the Fast Discrete Cosine Transform (FDCT) for bandwidth compression of monochrome and color images is described.
Journal ArticleDOI

Adaptive transform coding of speech signals

TL;DR: The main result is that this adaptive transform coder performs better than all known nonpitch-tracking coding schemes; it extends the range of speech waveform coding to lower bit rates and closes the gap between vocoders and predictive waveform coders.
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