TY  - JOUR
T1  - Measurement Noise Filtration and State Estimation of a Discrete-Time Stochastic Process
AU - Obinabo, E.C. AU - Ojieabu, C.E. 
JO  - International Journal of Soft Computing
VL  - 5
IS  - 2
SP  - 29
EP  - 34
PY  - 2010
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2010.29.34
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2010.29.34
KW  - Signal filtration
KW  -noisy measurements
KW  -discrete-time stochastic process
KW  -kalman filter
KW  -maximum likelihood
KW  -Ekpoma
KW  -Nigeria
AB  - This study presents a stochastic time-invariant model for linear filtering and prediction of state of a classical problem of known system in which it is required to calculate the output for all t>0. Signal filtration in this application provides additional processing techniques under operator control to obtain accurate results in noisy measurements. This was enhanced by inclusion of an analogue filter to reduce the interference from signals generated in the measurements and to ensure that accurate signal values could be detected in the majority of the cases.
ER  -