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Description
  • Rekonstrukce časově spojité funkce f(t) from ze vzorků odezezev m linearních časově invariantních (LTI) systémů vzorkovaných 1/m Nyquistovy rychlosti je předmětem zobecněného vzorkovacího teorému. Papoulis 1977 publikoval elegantní řešení pro případ kdyf (t) je kmitočtově omezená funkce s konečnou energií. a vzorkovací rychlost je 2/m násobkem mezního kmitočtu. V publikaci je tato teorie rozšířena na pásmové signály. V první části je prezentován vzorkovací teorém pro pásmové signály, druhá část se za abývá jeho využítím pro rekonstrukci funkce z nerovnoměrně rozložených vzorků. Třetí část uvádí konkrétní příklad rekonstrukce. (cs)
  • The reconstruction of an unknown continuously defined function f (t) from the samples of the responses of m linear timeinvariant (LTI) systems sampled by the 1/mth Nyquist rate is the aim of the generalized sampling. Papoulis 1977 provided an elegant solution for the case where f (t) is a band-limited function with finite energy and the sampling rate is equal to 2/m times cutoff frequency. In this paper, the scope of the Papoulis theory is extended to the case of bandpass signals. In the first part, a generalized sampling theorem (GST) for bandpass signals is presented. The second part deals with utilizing this theorem for signal recovery from nonuniform samples, and an efficient way of computing images of reconstructing functions for signal reco very is discussed.
  • The reconstruction of an unknown continuously defined function f (t) from the samples of the responses of m linear timeinvariant (LTI) systems sampled by the 1/mth Nyquist rate is the aim of the generalized sampling. Papoulis 1977 provided an elegant solution for the case where f (t) is a band-limited function with finite energy and the sampling rate is equal to 2/m times cutoff frequency. In this paper, the scope of the Papoulis theory is extended to the case of bandpass signals. In the first part, a generalized sampling theorem (GST) for bandpass signals is presented. The second part deals with utilizing this theorem for signal recovery from nonuniform samples, and an efficient way of computing images of reconstructing functions for signal reco very is discussed. (en)
Title
  • Generalized Sampling Theorem for Bandpass Signals
  • Generalized Sampling Theorem for Bandpass Signals (en)
  • Zobecněný vzorkovací teorém pro pásmové signály (cs)
skos:prefLabel
  • Generalized Sampling Theorem for Bandpass Signals
  • Generalized Sampling Theorem for Bandpass Signals (en)
  • Zobecněný vzorkovací teorém pro pásmové signály (cs)
skos:notation
  • RIV/00216305:26220/06:PU58547!RIV06-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 10-15
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/04/0557), Z(MSM0021630513)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 476804
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/06:PU58547
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Nonuniform sampling, reconstruction, generalized sampling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [459B4EC2FB93]
http://linked.open...i/riv/nazevZdroje
  • EURASIP Journal of Applied Signal Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2006
http://linked.open...iv/tvurceVysledku
  • Prokeš, Aleš
http://linked.open...n/vavai/riv/zamer
issn
  • 1110-8657
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
is http://linked.open...avai/riv/vysledek of
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