- Docente: Riccardo Rovatti
- Credits: 6
- SSD: ING-INF/01
- Language: English
- Moduli: Riccardo Rovatti (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 (cod. 0934)
Also valid for Second cycle degree programme (LM) in Electronic Engineering for Intelligent Vehicles (cod. 5917)
Learning outcomes
The course aims to give students the appropriate techniques for the acquisition and processing of real world data and the implementation of efficient and robust signal processing structures. Knowledge about the modern theory and practice of sampling from an engineering perspective, and classical and modern signal processing tools will be acquired.
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.
Office hours
See the website of Riccardo Rovatti
See the website of Mauro Mangia