87202 - COMMUNICATION THEORY AND CODING M

Anno Accademico 2019/2020

  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Bologna
  • Corso: Laurea Magistrale in Telecommunications engineering (cod. 9205)

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

1) Introduction to Information Theory

2) Capacity and channel coding theorem

3) Information Theory for continuous random variables

Part II

4) Block coding

5) Convolutional coding

6) Digital modulation techniques

Part III

7) Decision theory

8) Estimation theory

9) Estimation of auxiliary parameters

10) Detection in digital receivers

11) Detection in the presence of memory: decoding

12) Network Information Theory


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

SDGs

Istruzione di qualità Lavoro dignitoso e crescita economica Imprese innovazione e infrastrutture Partnership per gli obiettivi

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.