Detection and Estimation Theory - (9 cfu)

Prof. Alberto Bononi Tel. 0521.90.5760 - Fax. 0521.90.5758
  E-mail. bononi@tlc.unipr.it
  Home page. http://www.tlc.unipr.it/bononi/


Finalità

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

Programma

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.

Modalità d'esame

Written and oral exam.

Propedeuticità

None

Testi consigliati

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.


Ultimo aggiornamento: 05-10-2011


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