Inhalt

[ MEMWFUEDSNT ] UE Digital Signal Processing for Communications Engineering

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,25 ECTS M2 - Master's programme 2. year Mechatronics Hans-Peter Bernhard 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2015W
Objectives students should get: - introduction to signal processing
- understanding of time discrete methods for stochastic and deterministic signals
- introduction to digital filter theory (FIR, IIR)
- overview of basic filter design methods
- introduction to multirate signal processing
- concepts of delta-sigma convolution
- digital signal processors
- processor architectures
- algorithms and methods
- programming
Subject - Basic Concepts of Sampling

  • Sampling Theorem
    * Oversampling
    * Bandpass Sampling Theorem
    - Methods of Digital Signal Processing
    * FFT
    * Convolution
    * Cyclic Convolution
    * Block Processing
    - Filter Theory
    * FIR
    * IIR
    - Filter Design
    * Window Method
    * Kaiser Method
    * Optimal Filter Design
    * Impulsinvarianz
    * Bilinear Transformation
    - Multirate Signal Processing
    * Interpolator
    * Dezimator
    * Oversampling
    - Sigma-Delta-Convolution
    * Principe
    * Noise Shaping
    * Methods
    - Digital Signalprozessors
    * Basics
    * Architectures
    * Bus Types
    - Effects and Properties
    * Word Length
    * Error Propagation
    * Number Representation
    - DSP-Algorithms
    * Design Methods
    * Precedence Graph
    * Resource Allocation
    * Programming of DSP in C
Criteria for evaluation Oral examination
Language German
Study material Script

Vorlesungsfolien Leland B. Jackson, Digital Filters and Signal Processing: With MATLAB Exercises Alan V. Oppenheim und Ronald W. Schafer, Zeitdiskrete Signalverarbeitung Gerhard Doblinger, Signalprozessoren: Architekturen - Algorithmen - Anwendungen, Verlag: Schlembach

Changing subject? No
Further information none
Corresponding lecture (*)ME3WOUEDSVA: UE Digitale Signalverarbeitung für die Mechatronik (1 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Assignment according to sequence