Spectral analysis is a fundamenal tool in a broad range of scientific disciplines, including
telecommunications, chemistry, power electronics, and speech and audio processing. The course gives an overview of modern methods for spectral analysis for both stochastic and deterministic signals, including both parametric and non-parametric methods. More specifically, a number of methods based on different principles will be discussed, namely classical methods based on the Fourier transform, methods based on concepts from linear algebra such as shift-invariance and subspaces, optimal distortion-less filtering methods, and sparsity-based methods based on convex optimization and statistical principles. The properties of these methods will be analyzed and their application to real signal will be discussed.
- Organizer: Mads Græsbøll Christensen, email@example.com
- Lecturers: Mads Græsbøll Christensen
- ECTS: 3
- Time: November 23-27 2020
- Zip code:
- Number of seats: 50
- Deadline: November 2, 2020
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Mads Græsbøll Christensen