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Curriculum

Modul CS3100-KP04

Signal processing (SignalV)

Duration:


1 Semester
Turnus of offer:


each winter semester
Credit points:


4
Course of studies, specific field and terms:
  • Bachelor Robotics and Autonomous Systems 2016 (compulsory), computer science, 5th semester
  • Bachelor Medical Informatics 2011 (compulsory), computer science, 5th semester
  • Master CLS 2010 (compulsory), mathematics, 1st semester
  • Bachelor Computer Science 2012 (compulsory), foundations of computer science, 5th semester
Classes and lectures:
  • Signal processing (exercise, 1 SWS)
  • Signal processing (lecture, 2 SWS)
Workload:
  • 45 Hours in-classroom work
  • 55 Hours private studies
  • 20 Hours exam preparation
Contents of teaching:
  • Linear time-invariant systems
  • Impulse response
  • Convolution
  • Fourier transform
  • Transfer function
  • Correlation and energy density of deterministic signals
  • Sampling
  • Discrete-time signals and systems
  • Discrete-time Fourier transform
  • z-Transform
  • FIR and IIR filters
  • Block diagrams
  • FIR filter design
  • Discrete Fourier transform (DFT)
  • Fast Fourier transform (FFT)
  • Characterization and processing of random signals
Qualification-goals/Competencies:
  • Students are able to explain the fundamentals of linear system theory.
  • They are able to describe the basic elements of signal processing.
  • They will have a command of methods for the description and analysis of continuous-time and discrete-time signals and systems.
  • They are able to design digital filters and know various structures for their implementation.
  • They are able to explain the basic techniques for describing and processing of random signals.
Grading through:
  • Written or oral exam as announced by the examiner
Is requisite for:
Responsible for this module:
Teachers:
Literature:
  • A. Mertins: Signaltheorie: Grundlagen der Signalbeschreibung, Filterbänke, Wavelets, Zeit-Frequenz-Analyse, Parameter- und Signalschätzung - Springer-Vieweg, 3. Auflage, 2013
Language:
  • offered only in German
Notes:

Prerequisites for attending the module:
- None

Prerequisites for the exam:
- Successful completion of homework assignments during the semester (at least 50% of the max. points).

Modul exam:
- CS3100-L1: Signal Processing, written exam, 120 Min,. 100% of modul grade

Letzte Änderung:
21.3.2022