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Introduction to Wavelet Transform: A Signal Processing Approach
Author(s): S. V. Narasimhan, Nandini Basumallick, S. Veena

ISBN:    978-81-8487-081-7 
E-ISBN:   
Publication Year:   2011
Pages:   624
Binding:   Paper Back
Dimension:   185mm x 240mm
Weight:   960


Textbook


About the book

INTRODUCTION TO WAVELET TRANSFORM: A Signal Processing Approach, has been developed in a simple, logical and directed way. To understand this subject, the background required is physics and mathematics at a junior degree level and the basic knowledge of signals and systems. The ease of understanding has been facilitated by providing all the intermediate steps in a mathematical derivation and physical meaning of the mathematical relations, preserving the rigor and depth of the subject.


Key Features

  • Develops the Wavelet transform (WT) concepts in a simple, logical and directed way bringing out physical concepts with new insights and explanations. Provides essential fundamentals of signal processing, Multirate sampling and the perfect reconstruction filter bank in 6 chapters. Introduces WT as an extension of Short time Fourier transform by interpreting it as a filter bank. Covers in detail: Continuous WT, Discrete WT, Multiresolution formulation of WT and wavelet design. As a special feature, the chapter on implementation of WT covers the signal reconstruction from the WT in complete depth. The implementation also covers harmonic WT and lifting approach (in a separate chapter) The chapter on M-channel filter bank along with other chapters facilitates the use of the book for an introductory course on Multirate systems and Filter banks. Provides the important topic on time frequency distributions and their relation to WT. The applications chapter exposes the reader to a wide variety of applications of the WT in different fields and also indicates some recent research trends. A soft copy of the MATLAB programs used for the illustrations is available on request from publisher.



Table of Contents

Preface / Acknowledgments / Introduction / Signal Approximation / Signal Transmission and Power Spectral Density / Sampling Theorem and Development of DFT / Multirate Sampling Fundamentals / Perfect Reconstruction Filter Bank / Short time Fourier Transform (STFT) / Wavelet Transform / Discrete Wavelet Transform / Multiresolution Formulation of Wavelet Systems / Wavelet Design / Wavelet Transform Implementation / M-channel Filter Bank / Wavelet Transform Implementation by Lifting / Time-frequency Distribution / Wavelet Transform Applications / Appendix / Bibliography / Index.




Audience

Undergraduate and Postgraduate Students, Professionals and Researchers


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