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Wavelets Made Easy by Yves Nievergelt
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USD5,22 (aprox. 4,52 EUR) USPS Media MailTM.
Ubicado en: North Chelmsford, Massachusetts, Estados Unidos
Entrega:
Entrega prevista entre el mié. 5 nov. y el jue. 13 nov. a 94104
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N.º de artículo de eBay:235855225467
Última actualización el 25 feb 2025 18:47:08 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- ISBN
- 9780817640613
Acerca de este producto
Product Identifiers
Publisher
Birkhäuser Boston
ISBN-10
0817640614
ISBN-13
9780817640613
eBay Product ID (ePID)
400737
Product Key Features
Number of Pages
Xi, 297 Pages
Language
English
Publication Name
Wavelets Made Easy
Publication Year
1999
Subject
Functional Analysis, Electrical, Applied, Mathematical Analysis
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Format
Hardcover
Dimensions
Item Height
0.3 in
Item Weight
48.3 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
98-029994
Reviews
"The book explains in a nice way the nature and computation of mathematical wavelets, which provide a framework and methods for the analysis and synthesis of signals, images, and other arrays of data. A useful text for engineers, financiers, scientists, and students looking for explanation of wavelets."-Journal of Information and Optimization Sciences"Giving practice first and theory later, the author avoids discouraging readers whose main subject is not mathematics. The book is written in a very comprehensible and lively style. The text is essentially self-contained since many of the facts employed from analysis, linear algebra and functional analysis are stated and partially proved in the book." -ZAA, "The book explains in a nice way the nature and computation of mathematical wavelets, which provide a framework and methods for the analysis and synthesis of signals, images, and other arrays of data. A useful text for engineers, financiers, scientists, and students looking for explanation of wavelets." -Journal of Information and Optimization Sciences "Giving practice first and theory later, the author avoids discouraging readers whose main subject is not mathematics. The book is written in a very comprehensible and lively style. The text is essentially self-contained since many of the facts employed from analysis, linear algebra and functional analysis are stated and partially proved in the book." -ZAA, "The book explains in a nice way the nature and computation of mathematical wavelets, which provide a framework and methods for the analysis and synthesis of signals, images, and other arrays of data. A useful text for engineers, financiers, scientists, and students looking for explanation of wavelets." a?Journal of Information and Optimization Sciences "Giving practice first and theory later, the author avoids discouraging readers whose main subject is not mathematics. The book is written in a very comprehensible and lively style. The text is essentially self-contained since many of the facts employed from analysis, linear algebra and functional analysis are stated and partially proved in the book." a?ZAA, "The book explains in a nice way the nature and computation of mathematical wavelets, which provide a framework and methods for the analysis and synthesis of signals, images, and other arrays of data. A useful text for engineers, financiers, scientists, and students looking for explanation of wavelets." --Journal of Information and Optimization Sciences "Giving practice first and theory later, the author avoids discouraging readers whose main subject is not mathematics. The book is written in a very comprehensible and lively style. The text is essentially self-contained since many of the facts employed from analysis, linear algebra and functional analysis are stated and partially proved in the book." --ZAA
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
515/.2433
Table Of Content
A Algorithms for Wavelet Transforms.- 1 Haar's Simple Wavelets.- 2 Multidimensional Wavelets and Applications.- 3 Algorithms for Daubechies Wavelets.- B Basic Fourier Analysis.- 4 Inner Products and Orthogonal Projections.- 5 Discrete and Fast Fourier Transforms.- 6 Fourier Series for Periodic Functions.- C Computation and Design of Wavelets.- 7 Fourier Transforms on the Line and in Space.- 8 Daubechies Wavelets Design.- 9 Signal Representations with Wavelets.- D Directories.- Acknowledgments.- Collection of Symbols.
Synopsis
This book explains the nature and computation of mathematical wavelets, which provide a framework and methods for the analysis and the synthesis of signals, images, and other arrays of data. The material presented here addresses the au dience of engineers, financiers, scientists, and students looking for explanations of wavelets at the undergraduate level. It requires only a working knowledge or memories of a first course in linear algebra and calculus. The first part of the book answers the following two questions: What are wavelets? Wavelets extend Fourier analysis. How are wavelets computed? Fast transforms compute them. To show the practical significance of wavelets, the book also provides transitions into several applications: analysis (detection of crashes, edges, or other events), compression (reduction of storage), smoothing (attenuation of noise), and syn thesis (reconstruction after compression or other modification). Such applications include one-dimensional signals (sounds or other time-series), two-dimensional arrays (pictures or maps), and three-dimensional data (spatial diffusion). The ap plications demonstrated here do not constitute recipes for real implementations, but aim only at clarifying and strengthening the understanding of the mathematics of wavelets., This book explains the nature and computation of mathematical wavelets, which provide a framework and methods for the analysis and the synthesis of signals, images, and other arrays of data. The material presented here addresses the au- dience of engineers, financiers, scientists, and students looking for explanations of wavelets at the undergraduate level. It requires only a working knowledge or memories of a first course in linear algebra and calculus. The first part of the book answers the following two questions: What are wavelets? Wavelets extend Fourier analysis. How are wavelets computed? Fast transforms compute them. To show the practical significance of wavelets, the book also provides transitions into several applications: analysis (detection of crashes, edges, or other events), compression (reduction of storage), smoothing (attenuation of noise), and syn- thesis (reconstruction after compression or other modification). Such applications include one-dimensional signals (sounds or other time-series), two-dimensional arrays (pictures or maps), and three-dimensional data (spatial diffusion). The ap- plications demonstrated here do not constitute recipes for real implementations, but aim only at clarifying and strengthening the understanding of the mathematics of wavelets.
LC Classification Number
T57-57.97
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