Sparse signal processing

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Sparse signal processing

Code: 239809
ECTS: 5.0
Lecturers in charge: izv. prof. dr. sc. Ivica Nakić - Lectures
Take exam: Studomat
Load:

1. komponenta

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

2. semester
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
Izborni modul Obrada signala i strojni vid - Regular study - Applied Mathematics
Consultations schedule: