Advanced Topics in Signal Processing
A.Y. 2025/2026
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Arman Kheirati Roonizi
Understand and apply advanced signal processing techniques, including time-frequency analysis, sparse representations, and adaptive filtering. Analyze and design advanced filters and systems, using both time-domain and frequency-domain approaches. Implement modern signal processing algorithms, such as wavelet transforms, spectral estimation, and multirate processing. Apply signal processing methods to real-world signals, such as audio, biomedical, or sensor data. Explore recent research trends and applications, including machine learning for signal processing, compressed sensing, or deep learning-based approaches.
Participant requirements:understanding of basic signal processing concepts (e.g., Fourier transforms, filtering, sampling). Familiarity with linear algebra, probability theory, and digital signal processing fundamentals.
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)