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.
[/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.

Online-Angebote
moodle
 

Semester: Inverno 2019/20
Lehrinhalte
1) Discrete-Time Signals and Linear Systems – Sampling and Reconstruction of Analog Signals
2) Digital Filter Design – Filter Design Principles; Linear Phase Filters; Finite Impulse Response Filters; Infinite Impulse Response Filters; Implementations
3) Digital Spectral Analysis - Random Signals; Nonparametric Methods for Spectrum Estimation; Parametric Spectrum Estimation; Applications;
4) Kalman Filter

Literatur
Course manuscript
Additional References:
[list]
[*]A. Oppenheim, W. Schafer: Discrete-time Signal Processing, 2nd ed.
[*]J.F. Böhme: Stochastische Signale, Teubner Studienbücher, 1998
[/list]

Voraussetzungen
Deterministic signals and systems theory

Additional Information
[url]http://www.spg.tu-darmstadt.de/[/url]

Semester: Inverno 2019/20
Lehrinhalte
Introduction and definitions to micro system technology; definitions, basic aspects of materials in micro system technology, basic principles of micro fabrication technologies, functional elements of microsystems, micro actuators, micro fluidic systems, micro sensors, integrated sensor-actuator systems, trends, economic aspects.

Literatur
Script for lecture: Mikrosystemtechnik

Voraussetzungen
BSc

Semester: Inverno 2019/20
Lehrinhalte
1) Introduction to MATLAB
2) Discrete-Time Signals and Systems
3) Frequency-Domain Analysis using the DFT
4) Digital FIR Filter Design
5) IIR Filter Design using Analog Prototypes
6) Nonparametric Spectrum Estimation
7) Parametric Spectrum Estimation.

Literatur
Lab manual

Voraussetzungen
Deterministic signals and systems theory

Further Grading Information
The course can be done in parallel or after the course DSP.

Online-Angebote
moodle
 

Additional Information
[url]http://www.spg.tu-darmstadt.de/[/url]

Semester: Inverno 2019/20
Lehrinhalte
Provide insights into the various production and processing methods in micro- and precision engineering and the influence of these methods on the development of devices and components.

Literatur
Script for lecture: Technology of Micro- and Precision Engineering I

Online-Angebote
moodle
 

Semester: Inverno 2019/20