Detail publikačního výsledku

Generalized Sampling Theorem for Bandpass Signals

PROKEŠ, A.

Originální název

Generalized Sampling Theorem for Bandpass Signals

Anglický název

Generalized Sampling Theorem for Bandpass Signals

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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 recovery is discussed.

Anglický abstrakt

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 recovery is discussed.

Klíčová slova

Nonuniform sampling, reconstruction, generalized sampling

Klíčová slova v angličtině

Nonuniform sampling, reconstruction, generalized sampling

Autoři

PROKEŠ, A.

Vydáno

15.04.2006

Nakladatel

Hindawi Publishing Corporation.

Místo

New York

ISSN

1110-8657

Periodikum

EURASIP Journal of Applied Signal Processing

Svazek

2006

Číslo

12

Stát

Spojené státy americké

Strany od

1

Strany počet

6

BibTex

@article{BUT43209,
  author="Aleš {Prokeš}",
  title="Generalized Sampling Theorem for Bandpass Signals",
  journal="EURASIP Journal of Applied Signal Processing",
  year="2006",
  volume="2006",
  number="12",
  pages="6",
  issn="1110-8657"
}