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Digital Signal Processing

Module ID

Υ403

Semester

4

Hours/Week - ECTS

5 – 5

Karetsos George

Professor

Learning Outcomes

Upon completion of the course students will have a good understanding and knowledge of the main ideas, algorithms, and tools in the area of ​​digital signal processing and will be able:

  • to perform continuous-time signal sampling and to reconstruct them from their samples by selecting appropriate parameters and functions,
  • to process continuous-time systems in the field of discrete-time and vice versa,
  • to change the sampling rate of discrete-time signals, avoiding folding phenomena,
  • to calculate the frequency response of linear and temporally invariant systems of discrete-time, implement decomposition into a minimum phase system and a finite system, and describe generalized linear phase systems,
  • to implement discrete-time systems using different structures,
  • to design filters with an impact response of infinite or finite duration using appropriate methods,
  • to understand the importance of the discrete Fourier transform and its fast computational algorithms,
  • to analyze discrete-time signals in the frequency domain, using the windowing method as well as the time-dependent discrete Fourier transform, and reconstruct the signal with the overlap-addition algorithm,
  • to calculate the spectrum and signal period,
  • to implement code in the MATLAB computing environment to achieve the above.

Indicative Module Content

  • Introduction to Digital Signal Processing
  • Discrete-time Signals
  • Discrete-time Systems
  • Discrete Fourier Transform and applications
  • Frequency response
  • Frequency Domain Representation of Discrete-time LTI Systems
  • Analog to digital conversion
  • Z-transform
  • Digital filter Design