This text gives a clear introduction to the ideas and methods of wavelet analysis, making concepts understandable by relating them to methods in mathematics and engineering. It shows how to apply wavelet analysis to digital signal processing and presents a wide variety of applications.
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Most Helpful Customer Reviews
6 of 6 people found the following review helpful:
5.0 out of 5 stars
beyond signal processing,
By nemo "nobody" (somewhere) - See all my reviews
This review is from: Wavelet Analysis: The Scalable Structure of Information (Hardcover)
In most books on wavelets, signal and image processing are the only topics of application considered, because they are written by people from that field. However, the applicability of wavelets is much wider. For instance, the solution of partial differential equations, which has allowed the entrance of wavelets to the finite element world. This and other links to classical math problems, such as fractal geometry, are carefully addressed in this book besides the conventional signal processing issues. I recommend it for people of various fields.
4 of 4 people found the following review helpful:
5.0 out of 5 stars
One of the best!,
By Palle E T Jorgensen "Palle Jorgensen" (Iowa City, Iowa United States) - See all my reviews (VINE VOICE) (REAL NAME)
This review is from: Wavelet Analysis: The Scalable Structure of Information (Hardcover)
The Wells-Resnikoff book on wavelets is in my opinionone of the best:-- both with regard to the math--the proofs and all that!--, and the applications. The ideas in the book are timeless, and, I expect, it will be a great book for decades to come. It is very strong on both scores. And it is beautifully written: It is all there,- the history, the motivation, the philosophical points, the applications, the guided tours with friendly author-explainations of what it is all about. For me, this book was a page-turner. I read it on a long plane flight,- on my way to a wavelet conference in Guangzhou, China. -- And I didn't have jet-lag when I arrived more than a day later. It may be a bit demanding on some students, but it will be well worth their effort!
6 of 7 people found the following review helpful:
5.0 out of 5 stars
Strong mathematical foundations,
By A Customer
This review is from: Wavelet Analysis: The Scalable Structure of Information (Hardcover)
This is a wonderful book for the pure mathematicians out there. Unlike many other texts, this book spans the entire range of explanation from high-level outline through the algebraic foundations to real-world applications. If you're just interested in applying wavelets with a minimum of fuss, you may want another book. But if you want to really understand the theory behind them, this is the one for you.
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Inside This Book
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First Sentence:
The past decade has witnessed the development of wavelet analysis, a new tool which emerged from mathematics and was quickly adopted by diverse fields of science and engineering. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
wavelet matrices, wavelet matrix, orthonormal wavelet system, polynomial regularity, wavelet systems, paraunitary matrix, biorthogonal wavelet system, subcarrier pulses, wavelet channel, reduced parameter space, paraunitary matrices, wavelet sequences, discretization step size, wavelet vectors, pulsed interference, scaling vector, connection coefficients, dyadic rational numbers, wavelet series, sorting pass, cyclic prefix, wavelet functions, finite perimeter, cosine polynomial, sampling approximation Key Phrases - Capitalized Phrases (CAPs): (learn more)
The New Mathematical Engineering, United States, Alfred Haar, David Pollen, Multiresolution Audio Compression New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The past decade has witnessed the development of wavelet analysis, a new tool which emerged from mathematics and was quickly adopted by diverse fields of science and engineering. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
wavelet matrices, wavelet matrix, orthonormal wavelet system, polynomial regularity, wavelet systems, paraunitary matrix, biorthogonal wavelet system, subcarrier pulses, wavelet channel, reduced parameter space, paraunitary matrices, wavelet sequences, discretization step size, wavelet vectors, pulsed interference, scaling vector, connection coefficients, dyadic rational numbers, wavelet series, sorting pass, cyclic prefix, wavelet functions, finite perimeter, cosine polynomial, sampling approximation Key Phrases - Capitalized Phrases (CAPs): (learn more)
The New Mathematical Engineering, United States, Alfred Haar, David Pollen, Multiresolution Audio Compression New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 36
books:
See all 36 books this book cites
5
books
cite this book:
- Computer Graphics by Acm Press in Back Matter (1), and Back Matter (2)
- Elements of Algebra and Algebraic Computing by John D. Lipson in Back Matter
- Illusion of Reality by H Resnikoff in Back Matter
- Computing Methods In Applied Sciences by R Glowinski in Back Matter
- Numerical Methods for Nonlinear Variational Problems (Scientific Computation) by Roland Glowinski in Back Matter
See all 36 books this book cites
- Handbook of Space Astronomy and Astrophysics by Dr Martin V. Zombeck in Back Matter
- Wavelet Applications in Engineering Electro- magnetics by Tapan K. Sarkar in Back Matter
- Signal Analysis: Time, Frequency, Scale, and Structure by Ronald L. Allen on page 865
- Advances in Artificial Intelligence: 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, London, ... / Lecture Notes in Artificial Intelligence) by Ahmed Y. Tawfik on page 414
- Robot Vision: International Workshop RobVis 2001 Auckland, New Zealand, February 16-18, 2001 Proceedings (Lecture Notes in Computer Science) by Reinhard Klette on page 90
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