Digitale Lehre
Due to the COVID-pandemic, the course will be held as a lecture in this semester. The lectures will be held live via Zoom. Only in the winter semester 2020/21 and upon successful completion, students can include this course either as a seminar or a lecture into their curriculum. Note that these changes are temporary and only apply to the winter semester 2020/21.Due to the COVID-pandemic, the course will be held as a lecture in this semester. The lectures will be held live via Zoom. Only in the winter semester 2020/21 and upon successful completion, students can include this course either as a seminar or a lecture into their curriculum. Note that these changes are temporary and only apply to the winter semester 2020/21.
Lehrinhalte
This course extends the signal processing fundamentals taught in DSP towards advanced topics that are the subject of current research. It is aimed at those with an interest in signal processing and a desire to extend their knowledge of signal processing theory in preparation for future project work (e.g. Diplomarbeit) and their working careers. This course consists of a series of five lectures followed by a supervised research seminar during two months approximately. The final evaluation includes students seminar presentations and a final exam.
The main topics of the Seminar are:
[list]
[*]Estimation Theory
[*]Detection Theory
[*]Robust Estimation Theory
[*]Seminar projects: e.g. Microphone array beamforming, Geolocation and Tracking, Radar Imaging, Ultrasound Imaging, Acoustic source localization, Number of sources detection.
[*]Bootstrap
[/list]
Literatur
[list]
[*]L. L. Scharf, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis (New York: Addison-Wesley Publishing Co., 1990).
[*]S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory (Book 1), Detection Theory (Book 2).
[*]R. A. Maronna, D. R. Martin, V. J. Yohai, Robust Statistics: Theory and Methods, 2006.
[/list]
Voraussetzungen
DSP, general interest in signal processing is desirable.
Due to the COVID-pandemic, the course will be held as a lecture in this semester. The lectures will be held live via Zoom. Only in the winter semester 2020/21 and upon successful completion, students can include this course either as a seminar or a lecture into their curriculum. Note that these changes are temporary and only apply to the winter semester 2020/21.Due to the COVID-pandemic, the course will be held as a lecture in this semester. The lectures will be held live via Zoom. Only in the winter semester 2020/21 and upon successful completion, students can include this course either as a seminar or a lecture into their curriculum. Note that these changes are temporary and only apply to the winter semester 2020/21.
Lehrinhalte
This course extends the signal processing fundamentals taught in DSP towards advanced topics that are the subject of current research. It is aimed at those with an interest in signal processing and a desire to extend their knowledge of signal processing theory in preparation for future project work (e.g. Diplomarbeit) and their working careers. This course consists of a series of five lectures followed by a supervised research seminar during two months approximately. The final evaluation includes students seminar presentations and a final exam.
The main topics of the Seminar are:
[list]
[*]Estimation Theory
[*]Detection Theory
[*]Robust Estimation Theory
[*]Seminar projects: e.g. Microphone array beamforming, Geolocation and Tracking, Radar Imaging, Ultrasound Imaging, Acoustic source localization, Number of sources detection.
[*]Bootstrap
[/list]
Literatur
[list]
[*]L. L. Scharf, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis (New York: Addison-Wesley Publishing Co., 1990).
[*]S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory (Book 1), Detection Theory (Book 2).
[*]R. A. Maronna, D. R. Martin, V. J. Yohai, Robust Statistics: Theory and Methods, 2006.
[/list]
Voraussetzungen
DSP, general interest in signal processing is desirable.
- Lehrende: Jasin Machkour
- Lehrende: Abdelhak Zoubir
Semester: Inverno 2020/21