Modul Digital Signal Processing (MA)

Code:	250750
Module title:	Digital Signal Processing (MA)
Version:	1.0 (05/2019)
Last update:	28.07.2020
Responsible person:	Prof. Dr.-Ing. Müller, Jens Uwe J.Mueller@hszg.de
	Prof. Dr.-Ing. Scharf, Dietmar D.Scharf@hszg.de

Offered in study course:	Mechatronics (M.Eng.) valid from class 2019

Semester according to time table:	WiSe (winter semester)
Module level:	Master
Duration:	1 semester
Status:	compulsory module
Place where the module will be offered:	Zittau
Language of Instruction:	English

Workload* in

SCH **

semester

hours

ECTS Credits

1

2

3

L

S

P

O

L

S

P

O

L

S

P

O

150

5

4.0

2

1

1

0

*	Overall workload per module (1 ECTS credit corresponds to a workload of 30 hours)
**	One semester credit hour (SCH) corresponds to a workload / class meeting of 45 minutes per week in a semester

Self study time in hours	total
	105

Learning and teaching methods:	The knowledge is conveyed in the form of lectures with the active involvement of the students. Accompanying seminars and internship attempts serve to deepen the knowledge acquired in the lectures.

Further information:

Knowledge of MATLAB is useful



Exam(s)
Assessment	Major written exam	120 min	100.0%

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Syllabus plan/Content:	- Signal theory - Short-term Fourier transformation - wavelet transformation - Wigner-Ville distribution - Karhunen-Loeve Transformation

Learning Outcomes:
Subject-specific skills and competences:	- Specialist knowledge of continuous-time and time-discrete signals and systems - Practical application of background for analysis and synthesis of digital filters - Recognizing and using interdisciplinary connections for system theory - Knowledge, mastery and application of specialized methods, e.g. computation algorithms for system design.
Generic competences (Personal and key skills):	-Knowledge, mastery and application of methods which are of use regardless of their subject, e. g. problem solving ability and Decision-making techniques.

Pre-requisites:	System theory (signal transformations, differential and difference equations)

Literature:	Kienke, U.; Schwarz, M.; Weickert, T.: Signalverarbeitung. Oldenbourg Verlag München, 2008