87202 - COMMUNICATION THEORY AND CODING M

Conoscenze e abilità da conseguire

At the end of this course, the student will have knowledge of the essential constructs underpinning Communication Theory and its application in telecommunications systems. In particular, the student will master the fundamentals of Information Theory, Decision Theory, and Estimation Theory, as well as their practical application to Channel Coding for error protection.

Contenuti

Part I (20 lessons)

1) Introduction to Communications Theory

2) Information Theory: fundamentals

3) Information and entropy for discrete random variables

4) Information Theory for continuous random variables

Part II (15 lessons)

5) Channel coding: block and convolutional coding

6) Digital modulation techniques

Part III (25 lessons)

7) Detection and estimation theory: fundamentals

8) Detection in digital receivers

9) Decoding of coded signals

10) Applications

Testi/Bibliografia

Mandatory:

- Course handouts

Optional:

- T.M. Cover, J.A.Thomas, Elements of Information Theory, New York, Wiley, 1991.

- Van Trees, Harry L. Detection, estimation, and modulation theory, part I: detection, estimation, and linear modulation theory. John Wiley & Sons, 2004.

Metodi didattici

Lectures and practical examples. Attending all classes and taking personal notes is highly recommended. Group work can be exploited as needed on specific application examples.

Modalità di verifica e valutazione dell'apprendimento

The final exam is organised as an oral verification.

During the colloquium, both practical and theoretical questions will be formulated.

The student is expected to show familiarity with the fundamental concepts of communications theory, with an ability to prove statements and apply the concepts to practical applications.

Orario di ricevimento

Consulta il sito web di Giovanni Emanuele Corazza