Title of Course: Digital Signal Processing
Exam number: lecture: XM 2110
Length of course: 2 hours per week
Type of course: lecture
Language: English
Lecturer: Prof. Dr. U. Hofmann
Learning outcomes: The students know about the basic operations of digital signal processing, they can adopt these operations to selected examples, and they can use them in the field of medical-technology.
Content:
Basic signal processing knowledge:

• Basic signal processing knowledge
• Elementary signals, LTI-systems, Dirac-puls
• Integration/differentiation simple circuits, causal systems.
• Fourier Trafo as transfer fct. properties of FT
• FT of elementary signals, windowed cosine fct
• Energy signals, AutoCorrelationFunction, CrossCF, correlation, ACF @ LT
• Time and frequency discrete sampling, time discrete signals
• LSI-systems, time discrete FT, ACF, CCF, sampling, decimation, down and upsampling
• z-Transform and Polyphase Matrix
• Fast Fourier-Transform Algorithm

Recommended Literature:

• Oppenheim AV, Schafer RW, Discrete-time signal processing. Prentice Hall Signal Processing Series, Englewood Cliffs (1989) 879
  
• Lüke H, Signalübertragung. 6. ed. Springer, Berlin, (1995) 381 in German
  
• Script

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