On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.
Tibor Pogány; Predrag Perunicic
Stochastica (1992)
- Volume: 13, Issue: 1, page 89-100
- ISSN: 0210-7821
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topPogány, Tibor, and Perunicic, Predrag. "On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.." Stochastica 13.1 (1992): 89-100. <http://eudml.org/doc/39284>.
@article{Pogány1992,
abstract = {The spectral representation of the sampling cardinal series expansion (SCSE) of non-band-limited weakly stationary scalar and vector stochastic processes and their correlation functions are derived. The upper bound of the mean-square aliasing error is given for vector processes.},
author = {Pogány, Tibor, Perunicic, Predrag},
journal = {Stochastica},
keywords = {Procesos estocásticos; Procesos estacionarios; Teorema del muestreo de Shannon; weakly stationary mean-square continuous process; spectral measure; series expansion; spectral representation; spectral distribution},
language = {eng},
number = {1},
pages = {89-100},
title = {On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.},
url = {http://eudml.org/doc/39284},
volume = {13},
year = {1992},
}
TY - JOUR
AU - Pogány, Tibor
AU - Perunicic, Predrag
TI - On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.
JO - Stochastica
PY - 1992
VL - 13
IS - 1
SP - 89
EP - 100
AB - The spectral representation of the sampling cardinal series expansion (SCSE) of non-band-limited weakly stationary scalar and vector stochastic processes and their correlation functions are derived. The upper bound of the mean-square aliasing error is given for vector processes.
LA - eng
KW - Procesos estocásticos; Procesos estacionarios; Teorema del muestreo de Shannon; weakly stationary mean-square continuous process; spectral measure; series expansion; spectral representation; spectral distribution
UR - http://eudml.org/doc/39284
ER -
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