Wavelet Analysis and Its Applications: University Textbook for Electrical and Information Engineering

Author: Li Bichen
Publisher:
Publish Date: 2003-05-01
Features: This book discusses the basic theory and algorithms of wavelet analysis from an engineering application perspective, tracks the development frontiers of wavelet applications, and provides a detailed introduction to representative applications of wavelet transforms. The book is divided into 12 chapters. In terms of theory and algorithms, it includes: Continuous Wavelet Transform, Discrete Wavelet Transform, Multi-Resolution Analysis, Mallat Decomposition and Reconstruction Algorithms, Construction of Compactly Supported Orthogonal Wavelet Bases, Construction of Compactly Supported Biorthogonal Wavelet Bases, Sampling Theorem in Wavelet Subspaces, Orthogonal Wavelet Packets, Biorthogonal Wavelet Packets. In terms of applications, it covers: Wavelet Image Compression, Signal Singularity Detection Based on Wavelet Transform and Its Applications, Wavelet Analysis and Applications of Fractal Signals, Wavelet Neural Networks, Image Registration and Mosaicking Based on Wavelet Transform, Image Fusion Based on Wavelet Transform, and Watermarking Technology Based on Wavelet Transform. This book can serve as a textbook and teaching reference for graduate students or senior undergraduate students in related fields such as Information and Communication Engineering, Signal and Information Processing, and Applied Mathematics in universities, as well as an application reference book for engineering technicians and researchers.