This book is the only source available that presents a unified view of the theory and applications of discrete and continuous- time signals. This is the only book to present the mathematical point of view, as well as the discrete-time signal processing perspective. It brings together information previously available only in research papers, in engineering and applied mathematics. Appropriate for researchers and practitioners in signal processing and applied mathematics.
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From the Publisher
This text is the only source available that presents a unified view of the theory and applications of discrete and continuous- time signals. It also is the only text to present the mathematical point of view, as well as the discrete-time signal processing perspective. It brings together information previously available only in research papers, in engineering and applied mathematics.
From the Back Cover
This book is the only source available that presents a unified view of the theory and applications of discrete and continuous- time signals. This is the only book to present the mathematical point of view, as well as the discrete-time signal processing perspective. It brings together information previously available only in research papers, in engineering and applied mathematics. Appropriate for researchers and practitioners in signal processing and applied mathematics.
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Most Helpful Customer Reviews
24 of 26 people found the following review helpful:
5.0 out of 5 stars
If you don't know anything about Wavelet Analysis Start Here,
By Aaron & Che Parr (Sandy, UT USA) - See all my reviews
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This review is from: Introduction to Wavelets and Wavelet Transforms: A Primer (Paperback)
I have examined most of the popluar books printed on the subject of Wavelet Analysis and this is the best book for those who want to understand what a wavelet is, where is comes from, and how is it is useful for performing Time Scale signal analysis. I strongly suggest starting with this book.
34 of 41 people found the following review helpful:
4.0 out of 5 stars
theoretically sound, non-trivial tutorial,
By A Customer
This review is from: Introduction to Wavelets and Wavelet Transforms: A Primer (Paperback)
This book is a crafted piece as opposed to one of those collections of journal articles that usually leave you wondering. It appears to have a sound theoretical foundation with some clearly presented definitions and theorems. I wouldn't hesitate to spend time with this one.
2 of 2 people found the following review helpful:
3.0 out of 5 stars
book is o.k. for mathematicians but NOT for the novice,
By A bookworm (Miami, FL) - See all my reviews
This review is from: Introduction to Wavelets and Wavelet Transforms: A Primer (Paperback)
The book seems to be written with an assumption that the reader has plenty of background in the relevant mathematics. I would NOT recommend this book for the novice; it's more for those already familiar with the general area but want to get more 'in depth'. It examples are sprinkled with math notations that may not be familiar to most. For the beginner, I would recommend other wavelet books that are written from an ENGINEERING viewpoint rather than a mathematician's viewpoint.
Overall, well-written (for its intended audience).
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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successive approx, overcomplete representations, biorthogonal bases, unitary filter banks, scaling function moments, basic recursion equation, lattice parameterization, basic scaling function, linear phase filter banks, multiresolution formulation, shifted scaling functions, wavelet tight frames, wavelet moments, biorthogonal wavelet systems, modulated filter banks, local trigonometric bases, scaling function coefficients, filter bank trees, scaling filter, polyphase components, integer translates, wavelet expansion, butterfly operations, bilinear constraints, filter bank theory Key Phrases - Capitalized Phrases (CAPs): (learn more)
Discrete-Time Wavelet Transform, Discrete Wavelet Transform, Characterization of Unitary, Time-Varying Filter Bank Trees, Redundant Transforms, Nonlinear Filtering, Adaptive Bases, Periodic Property, Tiling the Time-Frequency, Discrete Multiresolution Analysis Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
successive approx, overcomplete representations, biorthogonal bases, unitary filter banks, scaling function moments, basic recursion equation, lattice parameterization, basic scaling function, linear phase filter banks, multiresolution formulation, shifted scaling functions, wavelet tight frames, wavelet moments, biorthogonal wavelet systems, modulated filter banks, local trigonometric bases, scaling function coefficients, filter bank trees, scaling filter, polyphase components, integer translates, wavelet expansion, butterfly operations, bilinear constraints, filter bank theory Key Phrases - Capitalized Phrases (CAPs): (learn more)
Discrete-Time Wavelet Transform, Discrete Wavelet Transform, Characterization of Unitary, Time-Varying Filter Bank Trees, Redundant Transforms, Nonlinear Filtering, Adaptive Bases, Periodic Property, Tiling the Time-Frequency, Discrete Multiresolution Analysis Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 46
books:
See all 46 books this book cites
- Wavelets, Volume 2: A Tutorial in Theory and Applications (Wavelet Analysis and Its Applications) by Charles K. Chui in Back Matter (1), Back Matter (2), and Back Matter (3)
- Wavelets and their Applications by Mary Beth Ruskai in Back Matter (1), Back Matter (2), and Back Matter (3)
- Applied Mathematics by Cohen in Back Matter (1), and Back Matter (2)
- Wavelets Mathematics and Applications (Studies in Advanced Mathematics) by John Benedetto in Back Matter (1), and Back Matter (2)
- Digital Signal Processing (I E E Control Engineering Series) by N. B. Jones in Back Matter (1), and Back Matter (2)
See all 46 books this book cites
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