A Generalized Parametric Pr Qmf Wavelet Transform Design Approach For Multiresolution Signal Decomposition

Multiresolution Signal Decomposition

This book provides an in-depth, integrated, and up-to-date exposition of the topic of signal decomposition techniques. Application areas of these techniques include speech and image processing, machine vision, information engineering, High-Definition Television, and telecommunications. The book will serve as the major reference for those entering the field, instructors teaching some or all of the topics in an advanced graduate course and researchers needing to consult an authoritative source.n The first book to give a unified and coherent exposition of multiresolutional signal decomposition techniquesn Classroom tested textbook clearly describes the commonalities among three key methods-transform coding, and wavelet transformsn Gives comparative performance evaluations of many proposed techniques

A Generalized, Parametric PR-QMF/wavelet Transform Design Approach for Multiresolution Signal Decomposition

Introduction to Data Compression

Mathematical preliminaries for lossless compression -- Huffman coding -- Arithmetic coding -- Dictionary techniques -- Context-based compression -- Lossless image compression -- Mathematical preliminaries for lossy coding -- Scalar quantization -- Vector quantization -- Differential encoding -- Mathematical preliminaries for transforms, subbands, and wavelets -- Transform coding -- Subband coding -- Wavelets -- Wavelet-based image compression -- Audio coding -- Analysis/synthesis and analysis by synthesis schemes -- Video compression -- Probability and random processes -- A brief review of matrix concepts --The root lattices.