THE USE OF DISCRETE KARHUNEN-LOEVE TRANSFORM TO CHARACTERIZE THE SIGNAL AND NOISE PORTIONS IN MODERN STATISTICAL SIGNAL PROCESSING

FEW IMPROVEMENTS ON THE CHARACTERISTICS OF Xˉ AND R CONTROL CHARTS

Electro-Pneumatic System Monitoring Using Multivariate Latent Methods

A NEURO-FUZZY CLASSIFICATION SYSTEM FOR PATTERN RECOGNlTION OF CONTROL CHARTS

STOCHASTIC CHARACTERISTICS OF DE- NOISING TIME SERIES

STABILITY ANALYSIS OF AUTONOMOUS LINEAR SYSTEMS BY A MATRIX DECOMPOSITION METHOD

Model Identification step plays an important and difficult part in time series analysis because the other steps of analysis depend on it and its accuracy. This article proposes a

Fault monitoring in complex dynamic system by utilization statistical analysis technique

A METHOD FOR ESTIMATING THE ORDER OF CERTAIN CLASS OF SYSTEM.NONLINEARITIES

Parameter Estimation of Composite Continuous Wave Signals in the Presence of Non-Gaussian noise