Time-frequency and time-scale methods : adaptive decompositions, uncertainty principles, and sampling
Developed in this book are several deep connections between time--frequency (Fourier/Gabor) analysis and time--scale (wavelet) analysis, emphasizing the powerful adaptive methods that emerge when separate techniques from each area are properly assembled in a larger context. While researchers at the...
محفوظ في:
| المؤلفون الرئيسيون: | , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Boston, MA :
Birkhäuser Boston
[20..].
Cham : Springer Nature |
| سلاسل: | Applied and Numerical Harmonic Analysis
|
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Time-frequency and time-scale methods, adaptive decompositions, uncertainty principles, and sampling, Jeffrey A. Hogan, Joseph D. Lakey, Boston, Birkhauser, 2005, 1 vol. (XX-388 p.), Applied and numerical harmonic analysis, 0-8176-4276-5 |
جدول المحتويات:
- Wavelets: Basic properties, parameterizations and sampling Derivatives and multiwavelets Sampling in Fourier and wavelet analysis Bases for time-frequency analysis Fourier uncertainty principles Function spaces and operator theory Uncertainty principles in mathematical physics