Back
| Semester | spring semester 2020 |
| Course frequency | Irregular |
| Lecturers | Giuseppe Genovese (giuseppe.genovese@unibas.ch, Assessor) |
| Content | The class will develop about the following topics: - sparsity and compressibility - bounded orthonormal systems - L0 and L1 minimisation algorithm - recovery by random matrices - approximate message passing algorithms |
| Bibliography | Foucart, Simon, and Holger Rauhut. A mathematical introduction to compressive sensing. Birkhäuser, New York, NY, 2013. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Modul: Applications and Related Topics (Bachelor's degree subject: Computer Science) Module: Applications and Related Topics (Bachelor's Studies: Computer Science) Module: Applied Mathematics (Bachelor's Studies: Mathematics) Module: Applied Mathematics (Computational Chemistry) (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) Module: Applied Mathematics (Computational Mathematics) (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) Module: Applied Mathematics (Computational Physics) (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) |
| Assessment format | continuous assessment |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,5 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Fachbereich Mathematik |