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The Resource Multiresolution Signal Decomposition : Transforms, Subbands, and Wavelets

Multiresolution Signal Decomposition : Transforms, Subbands, and Wavelets

Label
Multiresolution Signal Decomposition : Transforms, Subbands, and Wavelets
Title
Multiresolution Signal Decomposition
Title remainder
Transforms, Subbands, and Wavelets
Creator
Contributor
Subject
Language
eng
Summary
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
Cataloging source
EBLCP
Index
no index present
Literary form
non fiction
Nature of contents
dictionaries
Multiresolution Signal Decomposition : Transforms, Subbands, and Wavelets
Label
Multiresolution Signal Decomposition : Transforms, Subbands, and Wavelets
Link
http://libproxy.rpi.edu/login?url=http://app.knovel.com/hotlink/toc/id:kpMSDTSW04/multiresolution-signal-decomposition
Publication
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 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
  • 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
  • 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
  • Appendix A: Resolution of the Identity and InversionAppendix B: Orthonormality in Frequency; Appendix C: Problems; Index
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9780323138369&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3868940'}
Extent
1 online resource (389 pages)
Form of item
online
Isbn
9780323138369
Media category
computer
Media MARC source
rdamedia
Media type code
c
Specific material designation
remote

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