Module CS3100-KP04

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

4

Course of studies, specific fields and terms:

• Bachelor Robotics and Autonomous Systems 2016, compulsory, computer science
• Bachelor Medical Informatics 2011, compulsory, computer science
• Master CLS 2010, compulsory, mathematics
• Bachelor Computer Science 2012, compulsory, foundations of computer science

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:

• Image processing (CS3203)

Responsible for this module:

• Prof. Dr.-Ing. Alfred Mertins

Teacher:

• Institute for Signal Processing
• Prof. Dr.-Ing. Alfred Mertins

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:

Last Updated:

21.03.2022