Publication detail

Generalized Sampling Theorem for Bandpass Signals

PROKEŠ, A.

Original Title

Generalized Sampling Theorem for Bandpass Signals

Type

journal article - other

Language

English

Original Abstract

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.

Keywords

Nonuniform sampling, reconstruction, generalized sampling

Authors

PROKEŠ, A.

RIV year

2006

Released

15. 4. 2006

Publisher

Hindawi Publishing Corporation.

Location

New York

ISBN

1110-8657

Periodical

EURASIP Journal of Applied Signal Processing

Year of study

2006

Number

12

State

United States of America

Pages from

1

Pages to

6

Pages count

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"
}