- Docente: Mauro Mangia
- Credits: 6
- SSD: ING-INF/01
- Language: English
- Moduli: Andriy Enttsel (Modulo 1) Mauro Mangia (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Electronic Engineering for Intelligent Vehicles (cod. 5917)
Also valid for Second cycle degree programme (LM) in Electronic Engineering (cod. 0934)
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from Feb 19, 2025 to Jun 11, 2025
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from Feb 17, 2025 to Jun 09, 2025
Learning outcomes
The course aims at reviewing basic concepts of probability, operator theory and optimization and using them in the development of fundamental signal processing methods ranging from filtering to spectrum estimation, linear prediction, adaptive sampling and dimensionality reduction.
Course contents
The course aims at reviewing basic concepts of probability, operator theory and optimization and using them in the development of fundamental signal processing methods ranging from filtering to spectrum estimation, linear prediction, adaptive sampling and dimensionality reduction.
Teaching methods
Frontal lectures + laboratory exercises with own laptop.
Assessment methods
Learning is assessed by means of a joint written exam for the two modules on the topics discussed during the frontal lectures.
Teaching tools
Annotated slides and additional teaching materials available online.
All materials will be shared by means of the official Virtuale site of the course.
Office hours
See the website of Mauro Mangia
See the website of Andriy Enttsel