Title :
Sampling Reconstruction Procedure for a Markovian Gaussian Nonstationary Process in the presence of Jitter
Author :
Kazakov, V.A. ; Medina, J.A.
Author_Institution :
ESIME - IPN, Mexico City
Abstract :
The present work provides the conditional mathematic expectation rule in order to analyze the sampling reconstruction procedure of a Nonstationary process in the presence of jitter. Beta function is studied as a representation of jitter distribution. The sampled process is Markovian Gaussian. The error reconstruction function is investigated for nonstationary regime.
Keywords :
Gaussian noise; Markov processes; jitter; signal sampling; Markovian Gaussian nonstationary process; error reconstruction function; jitter distribution; sampling reconstruction procedure; Covariance matrix; Gaussian processes; Jitter; Mathematics; Multidimensional systems; Random processes; Sampling methods; Statistics; Stochastic processes; Timing; Error; jitter; nonstationary Gaussian process; reconstruction; sampling;
Conference_Titel :
Electrical and Electronics Engineering, 2007. ICEEE 2007. 4th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4244-1166-5
Electronic_ISBN :
978-1-4244-1166-5
DOI :
10.1109/ICEEE.2007.4344987
