Multiresolution Signal Decomposition : Transforms, Subbands, and Wavelets.

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...

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Bibliographic Details
Main Author: Haddad, Paul R.
Other Authors: Akansu, Ali N.
Format: eBook
Language: English
Published: Burlington : Elsevier Science, 1992.
Subjects:
Signal processing > Digital techniques.
Coding theory.
elektronické knihy
electronic books
ISBN: 9780323138369
0323138365
Physical Description: 1 online resource (389 pages)

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Table of contents

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100 1 |a Haddad, Paul R. 
245 1 0 |a Multiresolution Signal Decomposition :  |b Transforms, Subbands, and Wavelets. 
260 |a Burlington :  |b Elsevier Science,  |c 1992. 
300 |a 1 online resource (389 pages) 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Front Cover; Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction; 1.1 Introduction; 1.2 Why Signal Decomposition?; 1.3 Decompositions: Transforms, Subbands, and Wavelets; 1.4 Performance Evaluation; Chapter 2. Orthogonal Transforms; 2.1 Signal Expansions in Orthogonal Functions; 2.2 Transform Efficiency and Coding Performance; 2.3 Fixed Transforms; 2.4 Parametric Modeling of Signal Sources; 2.5 Lapped Orthogonal Transforms; 2.6 2D Transform Implementation; 2.7 Summary. 
505 8 |a Chapter 3. Theory of Subband Decomposition3.1 Multirate Signal Processing; 3.2 Bandpass and Modulated Signals; 3.3 Mth Band, Mirror, and Power Complementary Filters; 3.4 Two-Channel Filter Banks; 3.5 M-Band Filter Banks; 3.6 Cascaded Lattice Structures; 3.7 IIR Subband Filter Banks; 3.8 Two-Dimensional Subband Decomposition; 3.9 Quantization Effects in Filter Banks; 3.10 Summary; Chapter 4. Filterbank Families: Design and Performance; 4.1 Binomial QMF-Wavelet Filters; 4.2 Maximally Flat Filters; 4.3 Bernstein QMF-Wavelet Filters; 4.4 Johnston QMF Family; 4.5 Smith-Barnwell PR-CQF Family. 
505 8 |a 4.6 LeGall-Tabatabai PR Filter Bank4.7 Princen-Bradley QMF; 4.8 Optimal PR-QMF Design for Subband Image Coding; 4.9 Performance of PR-QMF Families; 4.10 Aliasing Energy in Multiresolution Decomposition; 4.11 Time and Frequency Localizations; 4.12 GTC and NER Performance; 4.13 Summary; Chapter 5. Wavelet Transform; 5.1 Time-Frequency Decompositions; 5.2 The Short-Time Fourier Transform; 5.3 The Wavelet Transform; 5.4 Multiresolution Signal Decomposition; 5.5 Wavelet Regularity and Wavelet Families; 5.6 Biorthogonal Wavelets and Filter Banks; 5.7 Discussions and Conclusion; 5.8 Epilogue. 
505 8 |a Appendix A: Resolution of the Identity and InversionAppendix B: Orthonormality in Frequency; Appendix C: Problems; Index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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 decompos. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Signal processing  |x Digital techniques. 
650 0 |a Coding theory. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Akansu, Ali N. 
776 0 8 |i Print version:  |a Haddad, Paul R.  |t Multiresolution Signal Decomposition : Transforms, Subbands, and Wavelets.  |d Burlington : Elsevier Science, ©1992  |z 9780120471409 
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