Linear Models of Dynamic Processes and Signals
Process identification is the subject of constructing models for certain utilitarian purposes from measured data. A first step in the total identification procedure is to determine a class of models in which the most suitable model is to be sought. In this chapter we will review some well known results on how to describe dynamic processes and signals using linear models.
KeywordsAutocorrelation Convolution Crosscorrelation
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