Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
Prokes, A.
Originální název
Generalized Sampling Theorem for Bandpass Signals
Anglický název
Druh
Abstrakt
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
Klíčová slova
Nonuniform sampling, reconstruction, generalized sampling
Klíčová slova v angličtině
Autoři
Vydáno
01.03.2006
Nakladatel
Hindawi Publishing Corporation
Místo
New York
Kniha
EURASIP News Letter
Edice
17
ISSN
1687-1421
Periodikum
Svazek
2006
Stát
Spojené státy americké
Strany od
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" }