Signal Processing

Signal processing consists of all the techniques used to describe the acquisition, storage, modification, coding and transmission of information. Faced with the mass of the signals that need to be processed, often in real time, technological systems of great complexity have invaded our society. In response to current challenges, powerful scientific methods have been developed to manage such complexity. The mastery of these methods becomes inescapable in the practice of the engineer whatever the field to which it is destined. The objective of this course is to present the preliminary bases for the acquisition and mastery of these methods and to illustrate them by their application.

1. Modelling and characterizing a signal: time domain and frequency domain analysis
2. Modelling and characterizing a system: convolution and filtering
3. Correlation functions and spectrum density
4. From analog signals to digital signals
5. Digital filtering
6. From deterministic signals to random signals