Compressive Sampling ()
| Vortragende/r (Mitwirkende/r) | |
|---|---|
| Nummer | 0000000989 |
| Art | Vorlesung mit integrierten Übungen |
| Umfang | 3 SWS |
| Semester | Wintersemester 2022/23 |
| Unterrichtssprache | Deutsch,English |
| Stellung in Studienplänen | Siehe TUMonline |
| Termine | Siehe TUMonline |
Termine
Teilnahmekriterien
Beschreibung
The aim of the lecture is to introduce the topic of "Compressive Sampling" to students with an engineering background. In the past few years CS has become an important tool in signal processing applications. The main observation behind CS is that usually natural signals exhibit sparse representations which means that only few components of the signal carries information. In CS this sparsity is exploited and the signal can be reconstructed from far fewer measurements then its ambient dimension.
Inhaltliche Voraussetzungen
Linear Algebra, Systemtheory, Signal representation in Time- and Frequency domain, mathematical interest
Lehr- und Lernmethoden
Tafel