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Wavelet Analysis: Basic Concepts and Applications

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  • Дата: 27-04-2021, 14:52
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Wavelet Analysis: Basic Concepts and ApplicationsНазвание: Wavelet Analysis: Basic Concepts and Applications
Автор: Sabrine Arfaoui, Anouar Ben Mabrouk, Carlo Cattani
Издательство: Chapman and Hall/CRC
Год: 2021
Страниц: 255
Язык: английский
Формат: pdf (true), epub
Размер: 13.2 MB

Wavelet Analysis: Basic Concepts and Applications provides a basic and self-contained introduction to the ideas underpinning wavelet theory and its diverse applications. This book is suitable for master’s or PhD students, senior researchers, or scientists working in industrial settings, where wavelets are used to model real-world phenomena and data needs (such as finance, medicine, engineering, transport, images, signals, etc.).

Nowadays, wavelets are applied almost everywhere in science. Both pure fields, such as mathematics and theoretical physics, and applied ones, such as signal/image processing, finance and engineering, apply wavelets. Although the references and/or the documentation about wavelets and their applications are wide, it seems that with the advancement of technology and the appearance of many phenomena in nature and in life there still exist some places for more efforts and developments to understand the new problems, as the existing wavelet methods do not provide good understanding of them.

On the other hand, especially for young researchers, existing references such as books in wavelet theory are somehow very restricted. The majority are written for specific communities. This is, in fact, not surprising and may be due to the necessity of developing such references to overcome the concerned problems in that time.

Next, with the inclusion of wavelet theory in academic studies such as in master’s and PhD programs, the scientific and academic communities have had a great need to develop references in other forms. Students and generally researchers need sometimes self-containing references responding to their need, to avoid losing time in redeveloping existing results, which is a necessary step for both the generalization and the experiments.

Features:

Offers a self-contained discussion of wavelet theory
Suitable for a wide audience of post-graduate students, researchers, practitioners, and theorists
Provides researchers with detailed proofs
Provides guides for readers to help them understand and practice wavelet analysis in different areas

Contents:


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