Sparse signal processing

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Sparse signal processing

Code: 256605
ECTS: 5.0
Lecturers in charge: prof. dr. sc. Ivica Nakić
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 45
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
Literature:
  1. Sparse modeling, I. Rish, G. Ya. Grabarnik, CRC, 2015.
  2. A mathematical introduction to compressive sensing, S. Foucart, H. Rauhut, Birkhäuser, 2013.
  3. Compressed sensing: Theory and applications, Y. C. Eldar, G. Kutyiniok (ur.), Cambridge University Press, 2012.
  4. Compressive Imaging, B. Adcock, A. C. Hansen, Cambridge University Press, 2021.
1. semester
Izborni modul Obrada signala i strojni vid - Regular study - Applied Mathematics

2. semester Not active
Izborni modul Obrada signala i strojni vid - Regular study - Applied Mathematics

3. semester
Izborni modul Obrada signala i strojni vid - Regular study - Applied Mathematics

4. semester Not active
Izborni modul Obrada signala i strojni vid - Regular study - Applied Mathematics
Consultations schedule: