Applications of Signal Processing in Engineering, Life and Social Sciences
Visakan Kadirkamanathan · 2015
The ubiquity of cheap sensors and novel measurement techniques have created the ability to observe many processes that evolve over time and/or space.This talk will address a number of signal processing problems, motivated by real examples from nonlinear and spatio-temporal processes.First, the identification framework for data observed as time series and modelled as nonlinear autoregressive and moving average with exogenous (NARMAX) models are described along with its estimation methodology within a statistical signal processing framework.The applications of signal processing involving modelling of spatio-temporal systems is considered next. 2