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Prolate Spheroidal Wave Functions of Order Zero [electronic resource] : Mathematical Tools for Bandlimited Approximation / by Andrei Osipov, Vladimir Rokhlin, Hong Xiao.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Applied Mathematical Sciences ; 187 | Applied Mathematical Sciences ; 187Editor: Boston, MA : Springer US : Imprint: Springer, 2013Descripción: XI, 379 p. 30 illus. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9781461482598
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 518 23
Clasificación LoC:
  • QA297-299.4
Recursos en línea:
Contenidos:
Springer eBooksResumen: Prolate Spheroidal Wave Functions (PSWFs) are the eigenfunctions of the bandlimited operator in one dimension. As such, they play an important role in signal processing, Fourier analysis, and approximation theory. While historically the numerical evaluation of PSWFs presented serious difficulties, the developments of the last fifteen years or so made them as computationally tractable as any other class of special functions. As a result, PSWFs have been becoming a popular computational tool. The present book serves as a complete, self-contained resource for both theory and computation. It will be of interest to a wide range of scientists and engineers, from mathematicians interested in PSWF as an analytical tool to electrical engineers designing filters and antennas.
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Introduction -- Mathematical and Numerical Preliminaries -- Overview.-Analysis of the Differential Operator.-Analysis of the Integral Operator.-Rational Approximations of PSWFs.-Miscellaneous Properties of PSWFs.-Asymptotic Analysis of PSWFs.-Quadrature Rules and Interpolation via PSWFs.-Numerical Algorithms .-.

Prolate Spheroidal Wave Functions (PSWFs) are the eigenfunctions of the bandlimited operator in one dimension. As such, they play an important role in signal processing, Fourier analysis, and approximation theory. While historically the numerical evaluation of PSWFs presented serious difficulties, the developments of the last fifteen years or so made them as computationally tractable as any other class of special functions. As a result, PSWFs have been becoming a popular computational tool. The present book serves as a complete, self-contained resource for both theory and computation. It will be of interest to a wide range of scientists and engineers, from mathematicians interested in PSWF as an analytical tool to electrical engineers designing filters and antennas.

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