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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hogan, Jeffrey A. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2005.
Edición:1st ed. 2005.
Colección:Applied and Numerical Harmonic Analysis,
Temas:
Harmonic analysis.
Fourier analysis.
Differential equations.
Signal processing.
Telecommunication.
Mathematics.
Abstract Harmonic Analysis.
Fourier Analysis.
Differential Equations.
Signal, Speech and Image Processing .
Communications Engineering, Networks.
Applications of Mathematics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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