Author: (USA) Mike
Publisher:
Publish Date: 2006-04-01
Features: This book is an introductory text that explores the relationship between wavelets and classical signal processing through numerous examples. The main contents include: functions and transforms, sampling theorem, multi-rate sampling, fast Fourier transform, wavelet transforms, orthogonal mirror filters, practical wavelets and filters, etc. In addition, the book also includes typical applications of wavelets, such as image compression, turbulence, pattern recognition, etc. The book is concise in its narration and rich in examples, making it suitable for various engineering technicians, computer programmers, and students. For mathematics professionals, the book also holds reference value.
Wavelet Basics and Applications Tutorial
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