SYSTEM IDENTIFICATION USING MODIFIED LMS ADAPTIVE RECURSIVE FILTERING ALGORITHM

COMMUNICATION SYSTEM IDENTIFICATION THROUGH ADAPTIVE MODELING OF THE COMMUNICATION CHANNEL

IDENTIFICATION OF PULSED RADARS USING HIDDEN MARKOV MODEL

A MODIFIED TWO DIMENSIONAL ADAPTIVE DIGITAL FILTER

AN OLD WORKFRAME FOR A NEW PROBLEM: A CLASSICAL MODEL FOR UNSUPERVISED ADAPTIVE FILTERING

APPLICATION OF KALMAN FILTER IN DIGITAL IMAGE PROCESSING

MODIFIED METHOD FOR SIGNAL TO NOISE RATIO IMPROVEMENT USING DIGITAL FILTERS

System Identification Using Intelligent Algorithms

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

Modeling and Identification of Complex Systems using Neuro-Fuzzy Techniques.