75469 - Information Theory And Coding M

Academic Year 2017/2018

Learning outcomes

At the end of this course, the student will have knowledge of information theory, as well as decision and estimation theories, and their practical applications to encoding and decoding techniques.

Course contents

1) Introduction to Communications Theory

2) Information Theory: fundamentals

3) Information and entropy for discrete random variables

4) Information Theory for continuous random variables

5) Channel coding: block and convolutional coding

6) Parametric description of the received signal

7) Detection and estimation theory: fundamentals

8) Parameter estimation

9) Detection and decoding of coded signals

10) Applications

 


Readings/Bibliography

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

Teaching methods

Lectures and practical examples.


Assessment methods

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.


Office hours

See the website of Giovanni Emanuele Corazza