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Journal ArticleDOI

On asymmetrical performance of discrete cosine transform

TLDR
The authors explain theoretically this asymmetrical performance of the DCT as well as the behavior of the modified Hermite transform (MHT) and the discrete Hadamard transform (DHT), which perform symmetrically regardless of the sign of the autocorrelation coefficient.
Abstract
The discrete cosine transform (DCT) is considered as a suboptimum transform for many practical source-coding applications. Autoregressive order 1 (AR(1)) source models are good first approximations to several natural signals. It is known that the performance of the DCT depends on the sign of the autocorrelation coefficient of the AR(1) source. The authors explain theoretically this asymmetrical performance of the DCT as well as the behavior of the modified Hermite transform (MHT) and the discrete Hadamard transform (DHT), which perform symmetrically regardless of the sign of the autocorrelation coefficient. >

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Citations
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Journal ArticleDOI

Digital Coding of Waveforms

K.H. Barratt
Journal ArticleDOI

Extended lapped transforms: properties, applications, and fast algorithms

TL;DR: In this article, the extended lapped transform (ELT) is introduced, as a generalization of the previously reported modulated Lapped Transform (MLT), which is a promising substitute for traditional block transforms in transform coding systems.
Journal ArticleDOI

Texture Classification by Modeling Joint Distributions of Local Patterns With Gaussian Mixtures

TL;DR: This work shows that combining the LBP difference filters with the GMM-based density estimator outperforms the classical LBP approach and its codebook extensions and extends this texture descriptor to achieve full invariance to rotation.
Proceedings ArticleDOI

Extended lapped transforms: fast algorithms and applications

TL;DR: In this paper, an extended lapped transform (ELT) based on a type-IV discrete cosine transform (DCT-IV) is proposed for AR (autoregressive) signals and also for real speech signals.
Book ChapterDOI

Chapter 2 – Orthogonal Transforms

TL;DR: In this article, the authors introduce the concept of orthogonal transforms, which decompose a batch of correlated signal samples into a set of uncorrelated spectral coefficients, with energy concentrated in as few coefficients as possible.
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

Digital Coding of Waveforms

K.H. Barratt
Journal ArticleDOI

A new orthogonal transform for signal coding

TL;DR: The authors propose an orthogonal, unitary transformation called the modified Hermite transformation (MHT) and its extension, which is called the modular modified Hermites transformation (MMHT), which is efficient computationally and comparable to the DCT for AR(1) source models with positive correlation coefficients.