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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
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
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" }