Wavelet Methods for Time Series Analysis: Cambridge Series in Statistical and Probabilistic Mathematics, cartea 4
Autor Donald B. Percival, Andrew T. Waldenen Limba Engleză Paperback – 26 feb 2006
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Specificații
ISBN-13: 9780521685085
ISBN-10: 0521685087
Pagini: 622
Ilustrații: 24 tables 119 exercises
Dimensiuni: 178 x 255 x 29 mm
Greutate: 1.06 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Cambridge Series in Statistical and Probabilistic Mathematics
Locul publicării:New York, United States
ISBN-10: 0521685087
Pagini: 622
Ilustrații: 24 tables 119 exercises
Dimensiuni: 178 x 255 x 29 mm
Greutate: 1.06 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Cambridge Series in Statistical and Probabilistic Mathematics
Locul publicării:New York, United States
Cuprins
1. Introduction to wavelets; 2. Review of Fourier theory and filters; 3. Orthonormal transforms of time series; 4. The discrete wavelet transform; 5. The maximal overlap discrete wavelet transform; 6. The discrete wavelet packet transform; 7. Random variables and stochastic processes; 8. The wavelet variance; 9. Analysis and synthesis of long memory processes; 10. Wavelet-based signal estimation; 11. Wavelet analysis of finite energy signals; Appendix. Answers to embedded exercises; References; Author index; Subject index.
Recenzii
'In my opinion the book by Percival and Walden should be available in every university library, and every time-series analyst must read this book for an alternative (to Fourier) set of techniques.' T. Subba Rao, Publication of the International Statistical Institute
'… would be an ideal text for a statistics doctoral student who is new to the field of wavelets … the content, lay-out and consistency of the text mean that it should also be a valuable reference resource for the wavelet researcher.' Tim Downie, The Statistician
'The authors … provide considerable background material, tell their story from scratch, proceed at a careful pace … and work out detailed applications … Recommended.' Choice
'… would be an ideal text for a statistics doctoral student who is new to the field of wavelets … the content, lay-out and consistency of the text mean that it should also be a valuable reference resource for the wavelet researcher.' Tim Downie, The Statistician
'The authors … provide considerable background material, tell their story from scratch, proceed at a careful pace … and work out detailed applications … Recommended.' Choice
Descriere
This book contains detailed descriptions of the theory and algorithms needed to understand and implement discrete wavelet transforms.