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Computational Signal Processing with Wavelets

Autor: Anthony Teolis

Jazyk:

Vazba: Brožovaná

Vydavatel: Birkhauser

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 11-15 dnů

1 310 Kč

This unique resource examines the conceptual, computational, and practical aspects of applied signal...

Informace o knize

Autor

Anthony Teolis

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2017

Stránek

324

EAN

9783319657462

ISBN

3319657461

Enbook ID

16766534

Vydavatel

Birkhauser

Hmotnost

5329

Rozměry

155 x 235 x 19

Kompletní popis

This unique resource examines the conceptual, computational, and practical aspects of applied signal processing using wavelets. With this book, readers will understand and be able to use the power and utility of new wavelet methods in science and engineering problems and analysis. The text is written in a clear, accessible style avoiding unnecessary abstractions and details. From a computational perspective, wavelet signal processing algorithms are presented and applied to signal compression, noise suppression, and signal identification. Numerical illustrations of these computational techniques are further provided with interactive software (MATLAB code) that is available on the World Wide Web. Topics and Features Continuous wavelet and Gabor transforms Frame-based theory of discretization and reconstruction of analog signals is developed New and efficient "overcomplete" wavelet transform is introduced and applied Numerical illustrations with an object-oriented computational perspective using the Wavelet Signal Processing Workstation (MATLAB code) available This book is an excellent resource for information and computational tools needed to use wavelets in many types of signal processing problems. Graduates, professionals, and practitioners in engineering, computer science, geophysics, and applied mathematics will benefit from using the book and software tools. The present, softcover reprint is designed to make this classic textbook available to a wider audience. A self-contained text that is theoretically rigorous while maintaining contact with interesting applications. A particularly noteworthy topic...is a class of 'overcomplete wavelets'. These functions are not orthonormal and they lead to many useful results. - Journal of Mathematical Psychology

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Computational Signal Processing with Wavelets

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