On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.
Stochastica, Tome 13 (1992) no. 1, p. 89.

Voir la notice de l'article dans European Digital Mathematics Library

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.
Classification : 60G10
Mots-clés : Procesos estocásticos, Procesos estacionarios, Teorema del muestreo de Shannon, weakly stationary mean-square continuous process, spectral measure, series expansion, spectral representation, spectral distribution
@article{STO_1992__13_1_39284,
     author = {Tibor Pog\'any and Predrag Perunicic},
     title = {On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.},
     journal = {Stochastica},
     pages = {89},
     publisher = {mathdoc},
     volume = {13},
     number = {1},
     year = {1992},
     mrnumber = {MR1197330},
     zbl = {0770.60043},
     language = {en},
     url = {https://geodesic-test.mathdoc.fr/item/STO_1992__13_1_39284/}
}
TY  - JOUR
AU  - Tibor Pogány
AU  - Predrag Perunicic
TI  - On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.
JO  - Stochastica
PY  - 1992
SP  - 89
VL  - 13
IS  - 1
PB  - mathdoc
UR  - https://geodesic-test.mathdoc.fr/item/STO_1992__13_1_39284/
LA  - en
ID  - STO_1992__13_1_39284
ER  - 
%0 Journal Article
%A Tibor Pogány
%A Predrag Perunicic
%T On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.
%J Stochastica
%D 1992
%P 89
%V 13
%N 1
%I mathdoc
%U https://geodesic-test.mathdoc.fr/item/STO_1992__13_1_39284/
%G en
%F STO_1992__13_1_39284
Tibor Pogány; Predrag Perunicic. On the spectral representation of the sampling cardinal series expansion of weakly stationary stochastic processes.. Stochastica, Tome 13 (1992) no. 1, p. 89. https://geodesic-test.mathdoc.fr/item/STO_1992__13_1_39284/