PhD Course: Data Analysis & Signal Processing for Electrical Engineering Applications

Published July 10, 2026 - 11:37

The course introduces some data analysis and signal processing tools for electrical engineering applications which all rely on the least-squares theory.
By starting with solving the linear regression problem with noisy data, the least-squares theory will be introduced and its relationship with the pseudo-inverse matrix illustrated.

The pseudo-inverse approach will be then used to solve generic polynomial fitting, regression, and non-linear fitting through iterative algorithms.

The basic principles of inverse theory and deconvolution will be suddenly introduced and then the course will focus on signal processing applications, all developed for dealing with optimal deconvolution and linear system characterization in noisy environments.  

Numerical exercises and experimental demonstrations will be done during the course.

 

Il corso si terrà giorno 20/07/2026 presso l'Aula di Automatica sita al Cubo 42C, 3° Piano.

Orari

  • 09:00 - 13:00, Prof. Marco Ricci
  • 14:00 - 18:00, Prof. Stefano Laureti

 

Teachers: 
Marco Ricci
Stefano Laureti
Hours: 
8