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General information
Ausgewählte Kapitel der Signalverarbeitung
Advanced Digital Signal Processing
MK106
Prof. Dr. Badri-Höher, Sabah (sabah.badri-hoeher@fh-kiel.de)
Prof. Dr. Badri-Höher, Sabah (sabah.badri-hoeher@fh-kiel.de)
Wintersemester 2018/19
1 Semester
In der Regel im Wintersemester
Englisch
Curricular relevance (according to examination regulations)
Study Subject Study Specialization Study Focus Module type Semester
M.Eng. - MET - Elektrische Technologien Kommunikationstechnik und Embedded Systems Pflichtmodul
M.Sc. - MIE - Information Engineering IT Security Wahlmodul
M.Sc. - MIE - Information Engineering Business IT-Management Wahlmodul
M.Sc. - MIE - Information Engineering Information Technology and Systems Wahlmodul
M.Sc. - MIE - Information Engineering Intelligent Systems Wahlmodul
Qualification outcome
Areas of Competence: Knowledge and Understanding; Use, application and generation of knowledge; Communication and cooperation; Scientific self-understanding / professionalism.
Students who successfully complete this course will have a deep knowledge in the field of digital signal processing and their application in different areas.
The students obtain specialized deep knowledge in the field of signal processing matched to the master level in the area of electrical and information engineering.
The students are capable to apply statistical methods of DSP in different areas, they are capable to explain important basic concepts of digital filter and their implementation by utilizing DSPs.
Upon a successful completion of this course, students acquire
skills to understand modern sampling techniques based on compressed sensing.
The course covers elements of a classical interactive on-line lecture/exercise, as well as team-working based on the handling
of scientific papers and lab. The students learn to solve problems bot independently as well as team-oriented.
Content information
Numerical methods of signal processing.
Digital filter, multirate systems, decimation and interpolation, polyphase channels,
filter banks, modulated filterbanks.
Working with high power DSP’s .
Fixed point arithmetic.
Influence of quantization noise, noise shaping.
Analysis of different filter structures with respect to quantization effects.
Sampling of analog signals.
Compressed sensing
- Mitra: Digital Signal Processing, McGraw-Hill.
- J.G. Proakis, D.G. Manolakis: Digital Signal Processing: Principles, Algorithms, and Applications, Prentice Hall.
- Stearn/David: Signal Processing Algorithms, Prentice-Hall.
Teaching formats of the courses
Teaching format SWS
Übung 1
Seminar 2
Labor 1
Workload
4 SWS
5,0 Credits
48 Hours
102 Hours
Module Examination
Method of Examination Duration Weighting gem. PVO §11 Satz 3 anrechenbar Graded Remark
Klausur 90 Minutes 70 %
Präsentation 20 Minutes 30 %
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