Wavelets: Tools For Science And Technology 2001 HC Mathematics Science Astronomy

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Note del venditore
“2001. Wavelets: Tools for Science and Technology. Science / Engineering / Computer Science / ...
Country of Origin
United States
Era
2000s
Personalize
No
Book Series
Wavelets Tools for Science & Technology
Intended Audience
Adults
Book Title
Wavelets: Tools for Science and Technology
Personalized
No
Inscribed
No
Genre
Science; Engineering; Mathematics; Computer Science; Applied Math
Topic
Data Compression; Turbulence Studies; Fractal Analysis; Astronomy
Features
Hardcover; First Edition; 1st; Vintage; Academic Press
Ex Libris
No
Edition
2001
Narrative Type
Nonfiction
Illustrator
NA
Signed
No
Vintage
No
Signed By
Previous owner's stamp to endpages
ISBN
9780898714487
Categoria

Informazioni su questo prodotto

Product Identifiers

Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
0898714486
ISBN-13
9780898714487
eBay Product ID (ePID)
1864286

Product Key Features

Number of Pages
270 Pages
Language
English
Publication Name
Wavelets : Tools for Science and Technology
Publication Year
2001
Subject
General, Mathematical Analysis
Type
Textbook
Subject Area
Mathematics
Author
Yves Meyer, Stéphane Jaffard, Robert D. Ryan
Format
Hardcover

Dimensions

Item Height
0.6 in
Item Weight
22.8 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
00-051607
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
515/.2433
Table Of Content
Preface to Revised Edition Preface from the First Edition Chapter 1: Signals and Wavelets Chapter 2: Wavelets from a Historical Perspective Chapter 3: Quadrature Mirror Filters Chapter 4: Pyramid Algorithms for Numerical Image Processing Chapter 5: Time-Frequency Analysis for Signal Processing Chapter 6: Time-Frequency Algorithms Using Malvar?Wilson Wavelets Chapter 7: Time-Frequency Analysis and Wavelet Packets Chapter 8: Computer Vision and Human Vision Chapter 9: Wavelets and Turbulence Chapter 10: Wavelets and Multifractal Functions Chapter 11: Data Compression and Restoration of Noisy Images Chapter 12: Wavelets and Astronomy Appendix A: Filter Fundamentals Appendix B: Wavelet Transforms Appendix C: A Counterexample Appendix D: Hölder Spaces and Besov Spaces Bibliography Author Index Subject Index.
Synopsis
This long-awaited update of Meyer's Wavelets: Algorithms and Applications includes completely new chapters on four topics: wavelets and the study of turbulence, wavelets and fractals (which includes an analysis of Riemann's nondifferentiable function), data compression, and wavelets in astronomy. The chapter on data compression was the original motivation for this revised edition, and it contains up-to-date information on the interplay between wavelets and nonlinear approximation. The other chapters have been rewritten with comments, references, historical notes, and new material. Four appendices have been added: a primer on filters, key results (with proofs) about the wavelet transform, a complete discussion of a counterexample to the Marr-Mallat conjecture on zero-crossings, and a brief introduction to Holder and Besov spaces. In addition, all of the figures have been redrawn, and the references have been expanded to a comprehensive list of over 260 entries. The book includes several new results that have not appeared elsewhere., This long-awaited update of Meyer's Wavelets: Algorithms & Applications includes completely new chapters on four topics: wavelets and the study of turbulence, wavelets and fractals (which includes an analysis of Riemann's nondifferentiable function), data compression, and wavelets in astronomy. The chapter on data compression was the original motivation for this revised edition, and it contains up-to-date information on the interplay between wavelets and nonlinear approximation. The other chapters have been rewritten with comments, references, historical notes, and new material. Four appendices have been added: a primer on filters, key results (with proofs) about the wavelet transform, a complete discussion of a counterexample to the Marr-Mallat conjecture on zero-crossings, and a brief introduction to Hölder and Besov spaces. In addition, all of the figures have been redrawn, and the references have been expanded to a comprehensive list of over 260 entries. The book includes several new results that have not appeared elsewhere. Wavelet analysis-an exciting theory at the intersection of the frontiers of mathematics, science, and technology-is a unifying concept that interprets a large body of scientific research. In addition to its intrinsic mathematical interest, its applications have serious economic implications in the areas of signal and image compression. For these expanding fields, this book provides a clear set of concepts, methods, and algorithms adapted to a variety of applications ranging from the transmission of images on the Internet to theoretical studies in physics. The use of wavelet-based algorithms adopted by the FBI for fingerprint compression and by the Joint Photographic Experts Group for the new JPEG-2000 compression standard confirms the success of this theory. The authors present with equal skill and clarity the mathematical background and major wavelet applications, including the study of turbulence, fractal objects, and the structure of the universe. Never before have the historic origins, the algorithms, and the applications of wavelets been discussed in such scope, providing a unifying presentation accessible to scientists and engineers across all disciplines and levels of training. Written specifically for scientists and engineers with diverse backgrounds, the material is presented in a manner that will appeal to both experts and nonexperts alike. This book is a valuable tool for anyone (from graduate student to expert) faced with signal or image processing problems. It also answers the question, "What are wavelets?" The first seven chapters trace the historical origins of wavelet theory and describe the different time-scale and time-frequency algorithms used today under the term ""wavelets."" Specific examples include the application of wavelet techniques to FBI fingerprint compression problems and the use of wavelets in the new JPEG standard for still image compression. Applying wavelet analysis methods to signal and image processing, fractals, turbulence, and astronomy is covered in the balance., This long-awaited update of Meyer's Wavelets: Algorithms and Applications includes completely new chapters on four topics: wavelets and the study of turbulence, wavelets and fractals (which includes an analysis of Riemann's nondifferentiable function), data compression, and wavelets in astronomy. The chapter on data compression was the original motivation for this revised edition, and it contains up-to-date information on the interplay between wavelets and nonlinear approximation. The other chapters have been rewritten with comments, references, historical notes, and new material. Four appendices have been added: a primer on filters, key results (with proofs) about the wavelet transform, a complete discussion of a counterexample to the Marr-Mallat conjecture on zero-crossings, and a brief introduction to Hölder and Besov spaces. In addition, all of the figures have been redrawn, and the references have been expanded to a comprehensive list of over 260 entries. The book includes several new results that have not appeared elsewhere., This long-awaited updated edition includes completely new chapters on four topics: wavelets and the study of turbulence, wavelets and fractals (which includes an analysis of Riemann's nondifferentiable function), data compression, and wavelets in astronomy.
LC Classification Number
QA403.3 .J34 2001

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