Signals and Systems

In the scope of the lecture "Signals and Systems", the basics for the representation and analysis of dynamic signals and systems are taught and illustrated using examples from mechatronic application systems.

 


Topics

Listed below is a list of the main topics covered in the scope of the lecture "Signals and Systems":

Classes and properties of dynamic systems

  • LTI systems, SISO/MIMO, discrete-event and hybrid systems, deterministic/stochastic systems
  • Nonlinear systems, rest positions, linearization
  • Continuous-time and discrete-time signals:
  • Elementary signals, sampling, A/D- D/A conversion
  • Fourier transform, Laplace transform

Continuous-time systems:

  • Differential equations, state representation, impulse response
  • Transfer function, poles and zeros, continuous-time filters
  • Stability, block diagrams
  • Frequency response, Bode diagrams

Discrete-time systems

  • Discretization methods (fundamental matrix, bilinear transformation,..., comparison)
  • Difference equation, state representation, z-transformation, impulse response
  • Transfer function, poles and zeros, discrete-time filters
  • Stability, block diagrams

 


Materials

The lecture materials for the course "Signals and Systems" are available for download at Stud.IP.

 

Organisation

Reader:

  • Prof. Dr.-Ing. Thomas Seel

Semester:

  • Winter semester

Lecture date: 

  • Wednesdays, 14:00 - 15:30 in Room 031, Building 8130

Lecture exercise date:

  • The lecture-accompanying lecture hall exercise will take place every two weeks on Wednesdays, 15:45 - 16:30 in room 031, building 8130 from 25.10.2023.

Computer exercise: 

  • The computer exercise accompanying the lecture will take place every two weeks on Wednesdays, 15:45 - 16:30 in room 031, building 8130 from 18.10.2023. For optimal participation, it's recommended to bring your own notebook as no computers will be provided.

Contact

M. Sc. Martin Bensch
Research Staff
Address
An der Universität 1
30823 Garbsen
Building
Room
107
M. Sc. Martin Bensch
Research Staff
Address
An der Universität 1
30823 Garbsen
Building
Room
107