Название: Wavelets in Soft Computing, Second Edition
Автор: Маrс Тhuillаrd
Издательство: World Scientific Publishing
Серия: World Scientific Series in Robotics and Intelligent Systems
Год: 2023
Страниц: 320
Язык: английский
Формат: pdf (true), epub
Размер: 38.0 MB

The comprehensive compendium furnishes a quick and efficient entry point to many multiresolution techniques and facilitates the transition from an idea into a real project. It focuses on methods combining several soft computing techniques (fuzzy logic, neural networks, genetic algorithms) in a multiresolution framework. Illustrated with numerous vivid examples, this useful volume gives the reader the necessary theoretical background to decide which methods suit his/her needs. New materials and applications for multiresolution analysis are added, including notable research topics such as Deep Learning, graphs, and network analysis. Many Deep Learning applications incorporate a wavelet decomposition stage to better capture features at different resolutions, a quite sensible step as the size of an object in an image may greatly vary. A fascinating aspect that we discuss in a new chapter is that multiresolution is at the heart of the functioning of Deep Learning. Neural networks on graphs are important in studying communication networks and analyzing internet data. Here also, multiresolution permits a better analysis. The research community has broadly integrated the idea that the integration of multiresolution often improves algorithms. This new edition aims to capture some of these exciting new developments. Readership: Researchers, professionals, academics and graduate students in fuzzy logic.

Название: Wavelets and Wavelet Transform Systems and Their Applications: A Digital Signal Processing Approach
Автор: Cajetan M. Akujuobi
Издательство: Springer
Год: 2022
Страниц: 657
Язык: английский
Формат: pdf (true)
Размер: 18.1 MB

This textbook is unique because of its in-depth treatment of the applications of wavelets and wavelet transforms to many areas, across many disciplines. The book is written to serve the needs of a one or two semester course at either the undergraduate or graduate level. The author uses a very simplified, accessible approach that de-emphasizes mathematical rigor. The presentation includes many diagrams to illustrate points being discussed and uses MATLAB for all of application code. The author reinforces concepts introduced in the book with easy to grasp review questions and problems, tailored to each specific chapter for better mastery of the subject matter. This book enables students to understand the fundamental concepts of wavelets and wavelet transforms, as well as how to use them for problem solutions in digital signal and image processing, mixed-signal testing, space applications, aerospace applications, biomedical, cyber security, homeland security and many other application areas.

Название: 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.).