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Lecture "Advanced Digital Signal Processing"

 

Basic Information

 
 
Lecture overview  
  Lecturers:   Gerhard Schmidt (lecture) and Eric Elzenheimer (exercise)  
  Room:   KS2/Geb.F - SR-I  
  Language:   English  
  Target group:   Students in electrical engineering and computer engineering  
  Prerequisites:   Basic Knowlegde about signals and systems  
  Contents:  

Students attending this lecture should be able to implement efficient and robust signal processing structures. Knowledge about moving from the analog to the digital domain and vice versa including the involved effects (and trap doors) should be acquired. Also differences (advantages and disadvantages) between time and frequency domain approaches should be learnt.

Topic overview:

  • Digital processing of continuous-time signals
  • Efficient FIR structures
  • DFT and FFT
  • Digital filters (FIR filters/IIR filters)
  • Multirate digital signal processing
 
  References:   J. G. Proakis, D. G. Manolakis: Digital Signal Processing: Principles, Algorithms, and Applications, Prentice Hall,
S. K. Mitra: Digital Signal Processing: A Computer-Based Approach, McGraw Hill Higher Education, 2000
A. V. Oppenheim, R. W. Schafer: Discrete-time signal processing, Prentice Hall, 1999, 2nd edition
M. H. Hayes: Statistical Signal Processing and Modeling, John Wiley and Sons, 1996
 

 

News

According to the rules of our university, currently all exams of this lecture will be postponed due to COVID-19. As soon as we have a solution we will inform those of you who already booked an exam via e-mail.

 

Lecture Slides

 
 
Link   Content  
    Slides of the lecture "Introduction"
(Contents, literature, analog versus digital signal processing)
 
    Slides of the lecture "Digital processing of continuous-time signals"
(Sampling, Quantization, AD and DA conversion)
 
    Slides of the lecture "Efficient FIR structures"
(DFT and signal processing, FFT, DFT of real sequences)
 
    Slides of the lecture "DFT/FFT"
(DFT and signal processing, FFT, DFT of real sequences)
 
    Slides of the lecture "Digital filters"
(FIR filters, IIR filters, analysis and design)
 
    Slides of the lecture "Multi-rate digital signal processing"
(Upsampling, downsampling, filter banks)
 

 

Exercises

Please note that the questionnaires will be uploaded every week before the excercises, if you download them earlier, you won't get the most recent version.

 
 
Link   Content  
    Exercise 1: Sampling  
    Exercise 2: Quantization  
    Exercise 3: Discrete Fourier Transform (DFT) / Convolution  
    Exercise 4: FFT / Radix-2-FFT  
    Exercise 5: FFT / FFTs of Real and Complex Signals  
    Exercise 6: Signal Flow Graph  
    Exercise 7: Round-off Effects in Digital Filters  
    Exercise 8: FIR Filter Design  

 

Evaluation

 
 
Link   Content   Link   Content  
    Current evaluation     Completed evaluations  

 

Matlab demos

 

Previous Exams

 
 
Link   Content   Link   Content  
    Exam of the summer term 2018     Corresponding solution  
    Exam of the winter term 2017/2018     Corresponding solution  
    Exam of the summer term 2017     Corresponding solution  
    Exam of the winter term 2016/2017     Corresponding solution  
    Exam of the summer term 2016     Corresponding solution  
    Exam of the winter term 2015/2016     Corresponding solution  
    Exam of the summer term 2015     Corresponding solution  
    Exam of the winter term 2014/2015     Corresponding solution