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An Introduction to Wavelet Analysis

TLDR
A comprehensive presentation of the conceptual basis of wavelet analysis, including the construction and analysis of wavelets bases, can be found in this article, along with a detailed exposition of the Haar series.
Abstract
This book provides a comprehensive presentation of the conceptual basis of wavelet analysis, including the construction and analysis of wavelet bases. It motivates the central ideas of wavelet theory by offering a detailed exposition of the Haar series, then shows how a more abstract approach allows readers to generalize and improve upon the Haar series. It then presents a number of variations and extensions of Haar construction.

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Journal ArticleDOI

Texture analysis of medical images.

TL;DR: The principles of texture analysis are clarified and examples of its applications are given, reviewing studies of the technique.
Journal ArticleDOI

Varieties of Attention-Deficit/Hyperactivity Disorder-Related Intra-Individual Variability

TL;DR: Secondary data analyses support the speculative hypothesis that the increased power of multisecond oscillations in ADHD RT data, and by inference, in attentional performance, represents a catecholaminergic deficit in the ability to appropriately modulate such oscillation in neuronal activity.
BookDOI

Wavelets and their applications

TL;DR: This chapter discusses the development of the EZW Algorithm as a framework for wavelet-based image processing, and some of the techniques used to develop and designWavelet Families.
Journal ArticleDOI

A guide to wavelets for economists

TL;DR: A survey of wavelet analysis in economics can be found in this article, where the existing economics and finance literature that utilizes wavelets is surveyed and explored, most using Canadian, US and Finnish industrial production data.

Application of Wavelet Transform and its Advantages Compared to Fourier Transform

M. Sifuzzaman
TL;DR: This paper aims to find out the advantages of wavelet transform compared to Fourier transform, the improved version of Fourier Transform for signal transmission.