Second Generation Wavelets and Applications
Autor Maarten H. Jansen, Patrick J. Oonincxen Limba Engleză Paperback – 13 oct 2010
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 582.21 lei 38-44 zile | |
| SPRINGER LONDON – 13 oct 2010 | 582.21 lei 38-44 zile | |
| Hardback (1) | 608.74 lei 6-8 săpt. | |
| SPRINGER LONDON – 31 mai 2005 | 608.74 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781849969581
ISBN-10: 1849969582
Pagini: 148
Ilustrații: X, 138 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:Softcover reprint of hardcover 1st ed. 2005
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom
ISBN-10: 1849969582
Pagini: 148
Ilustrații: X, 138 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:Softcover reprint of hardcover 1st ed. 2005
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom
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Public țintă
ResearchCuprins
The Classical Wavelet Transform for Continuous-time and Discrete-time Signals.- Second-generation Wavelets.- Nonlinear and Adaptive Lifting.- Numerical Condition.- Applications of Nonlinear Lifting in Imaging.
Textul de pe ultima copertă
Wavelets are mathematical functions that divide data into different frequency components, and then study each component with a resolution matched to its scale.
First generation wavelets have proved useful in many applications in engineering and computer science. However they cannot be used with non-linear, data-adaptive decompositions and non-equispaced data
Second Generation Wavelets and Applications introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics.
This book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images.
First generation wavelets have proved useful in many applications in engineering and computer science. However they cannot be used with non-linear, data-adaptive decompositions and non-equispaced data
Second Generation Wavelets and Applications introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics.
This book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images.
Caracteristici
No other book covers second generation wavelets and their applications in engineering and computer science