( in italiano )
Detection and Estimation Theory ( 9 CFU )
Prof. Alberto Bononi
     Phone: 0521.90.5760 - Fax: 0521.90.5758           E-mail. bononi@tlc.unipr.it           Home page. http://www.tlc.unipr.it/bononi/

Objectives
To describe the theoretical foundation of detection and estimation theory with application to digital communication systems.

Program
Discrete representation of deterministic and random signals.

Detection theory
Statistic model for detection. MAP criterion. Detection in the presence of additive white Gaussian noise. Sufficient statistics. Matched filter. Detection in the presence of additive Gaussian colored noise: reversibility theorem. Detection in the presence of random parameters.

Estimation theory
Statistic model for estimation. Estimation of deterministic parameters: ML criterion. Estimation of stochastic parameters: Bayes criterion. Cramer-Rao inequality. Minimum mean square linear estimation. Wiener filter. Prediction. Kalman filter.


Examination methods
Written and oral exam.

Prerequisites
None

Suggested textbooks
G. Colavolpe, R. Raheli, Lezioni di Trasmissione numerica, Monte Universitą Parma editore, 2004.
H. L. Van Trees, Detection, estimation and modulation theory, Part I, John Wiley and Sons, 2001.

 
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