Title :
Kramer´s generalized sampling of stochastic processes
Author_Institution :
Div. of Math. & Informational Stat., Wonkwang Univ., South Korea
Abstract :
Several sampling theorems for deterministic signals are known to have their counterparts for stochastic signals. Motivated by Kramer´s result on generalized sampling of band-limited deterministic signals, we obtain generalized sampling expansions of a certain class of stochastic processes which are not necessarily wide sense stationary.
Keywords :
signal sampling; stochastic processes; band limited deterministic signal; stochastic process Kramer generalized sampling; stochastic signal; Fourier series; Fourier transforms; Kernel; Random processes; Signal analysis; Stochastic processes;
Conference_Titel :
Sampling Theory and Applications (SampTA), 2015 International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/SAMPTA.2015.7148888
