Course: signal processing lab

Course no. :n/a
ECTS credits:2.5
Lecturer(s):Prof. Dr.-Ing. U. Totzek
Available: winter term summer term
Course type:Practical exercises
Exam type:Experimental study
Exam requirements:In-depth knowledge about linear time-invariant systems and their description by differential equations, transfer functions and Bode diagram. Knowledge about Fourier analysis and Laplace transform. Basic knowledge about stochastic signals and about linear feed back in control systems.
Objectives:Acquisition of practical skills in application of signal processing algorithms. Application of software tools for signal processing.
Course contents:Basics of signals and systems, linear time-invariant systems, differential equations, transfer functions, Bode diagram, Fourier analysis and Laplace transform, modulation and sampling; stochastic signals; linear feed back, control systems.
Literature: 
available in modul:signal processing in semester 4