Length: 10 hours - 2 cfu
Abstract
The course has the aim of presenting advanced topics that, while rooted in digital signal processing, might be of help in different research contexts. The main topics covered will be:
(i) Maximum entropy modelling of a time series (with a short review of stochastic processes and related information theory results);
(ii) The usage of entropy metrics for the characterization of signal and images (e.g., for extracting features then used in machine learning).
Dates & Venue
Giorni | Aula | Orario |
21/02/2022 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 14:00-17:00 |
22/02/2022 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 14:00-17:00 |
08/03/2022 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 14:30-16:30 |
15/03/2022 | Lab. Laurea Magistrale 3° floor - Via Celoria 18 - 20133 Milan | 14:30-16:30 |