Sparse signal processing

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Sparse signal processing

Code: 256606
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 predmet 1, 2 - Regular study - Computer Science and Mathematics

2. semester Not active
Izborni predmet 1, 2 - Regular study - Computer Science and Mathematics

3. semester
Izborni predmet 3, 4, 5, 6 - Regular study - Computer Science and Mathematics

4. semester Not active
Izborni predmet 3, 4, 5, 6 - Regular study - Computer Science and Mathematics
Consultations schedule: