Detail publikace

Generalized Sampling Theorem for Bandpass Signals

Prokes, A.

Originální název

Generalized Sampling Theorem for Bandpass Signals

Typ

abstrakt

Jazyk

angličtina

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.

Klíčová slova

Nonuniform sampling, reconstruction, generalized sampling

Autoři

Prokes, A.

Vydáno

1. 3. 2006

Nakladatel

Hindawi Publishing Corporation

Místo

New York

ISSN

1687-1421

Periodikum

EURASIP News Letter

Ročník

2006

Stát

Spojené státy americké

Strany od

69

Strany do

69

Strany počet

1

BibTex

@misc{BUT60404,
  author="Aleš {Prokeš}",
  title="Generalized Sampling Theorem for Bandpass Signals",
  booktitle="EURASIP News Letter",
  year="2006",
  series="17",
  journal="EURASIP News Letter",
  volume="2006",
  pages="1",
  publisher="Hindawi Publishing Corporation",
  address="New York",
  issn="1687-1421",
  note="abstract"
}