DETECTION AND ESTIMATION THEORY
cod. 16626

Academic year 2008/09
1° year of course - First semester
Professor
Academic discipline
Telecomunicazioni (ING-INF/03)
Field
Ingegneria delle telecomunicazioni
Type of training activity
Characterising
45 hours
of face-to-face activities
5 credits
hub:
course unit
in - - -

Learning objectives

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

Prerequisites

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Course unit content

<br /><br />Discrete representation of deterministic and random signals.<br /> <br />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.<br /> <br />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.

Full programme

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Bibliography

<br /><br />G. Colavolpe, R. Raheli, Lezioni di Trasmissione numerica, Monte Università Parma editore, 2004.H. L. Van Trees, Detection, estimation and modulation theory, Part I, John Wiley and Sons, 2001.

Teaching methods

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Assessment methods and criteria

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Other information

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