ECTS - University of Pisa
The student who successfully completes the course will be able to demonstrate advanced knowledge on modelling and analysis of biomedical signals and images, and on statistical data analysis.
The student must demonstrate the ability to put into practice and to execute, with critical awareness, the activities illustrated or carried out under the guidance of the teacher during the course.
Methods:
Conoscere i fondamenti di teoria dei segnali
Conoscenza del software Matlab
Il corso si svolge con lezioni frontali e laboratori informatici
Delivery: face to face
Learning activities:
Attendance: Mandatory
Teaching methods:
Introduzione ai processi stocastici
Modelli di serie temporali
Stimatori
Metodi di analisi multivariata
Algoritmi di machine learning
RANDOM PROCESSES: first and second order statistical analysis, examples PARAMETRIC ESTIMATION: definitions, first and second order estimators, two levels statistical analyisis, examples. IMAGE RESTORATION: inverse problem with and without regularization, Wiener filter ADAPTIVE FILTERS: algorithms and structures, convergence criteria, examples
Analisi e modelli di segnali biomedici. Luigi Landini e Nicola Vanello. Pisa University Press, 2016 (Manuali)
Recommended reading includes the material supplied by the teacher
Prova scritta e orale
