Signal Theory

Data is displayed for the academic year: 2024./2025.

Lecturers

Prof.
Damir Seršić
PhD

Course Description

Classical sampling theorem revisited: new sampling paradigm. Sampling in shift-invariant spaces. Unconstrained reconstruction. Predefined kernels. Sampling of signals with finite rate of innovation (FRI). Reconstruction of FRI signals. Parametric signal modeling, new processing techniques. Sparse representation of signals: wavelets, splines. Compression and compressive sensing (CS). Reconstruction techniques with examples. Optimalna I adaptivna mjerenja. Camera-projector CS systems, dual imaging. Fast CS using sum-to-one transformation. Compressive imaging. 3D reconstruction and modeling.

Study Programmes

Postgraduate doctoral study programme

Literature

Yonina C. Eldar (2015.), Sampling theory, University Printing House, Cambridge CB2 8BS, UK
Gotz E. Pfander (ed) (2015.), Sampling Theory, a Renaissance, Birkhauser
Strang G. and Nguyen T (1996.), Wavelets and Filter Banks, Wellesley-Cambridge Press

General

ID 154737
  Winter semester
6 ECTS
L2 English Level