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Prolate Spheroidal Wave Functions of Order Zero

Mathematical Tools for Bandlimited Approximation, Applied Mathematical Sciences 187
ISBN/EAN: 9781489978653
Umbreit-Nr.: 9730965

Sprache: Englisch
Umfang: xi, 379 S., 30 s/w Illustr., 379 p. 30 illus.
Format in cm:
Einband: kartoniertes Buch

Erschienen am 23.08.2016
Auflage: 1/2013
€ 106,99
(inklusive MwSt.)
Lieferbar innerhalb 1 - 2 Wochen
  • Zusatztext
    • 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 PSWFs as an analytical tool to electrical engineers designing filters and antennas.
  • Kurztext
    • 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.
  • Autorenportrait
    • Andrei Osipov is a Professor at Yale University in the Department of Mathematics.Vladimir Rokhlin is a Professor at Yale University in the Department of Computer Science.  Hong Xiao is a Professor at University of California, Davis in the Department of Computer Science.