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19D051SOS - System Control and Signal Processing

Course specification
Course title System Control and Signal Processing
Acronym 19D051SOS
Study programme Electrical Engineering and Computing
Module System Control and Signal Processing
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition none
      The goal The goal is to introduce the students to modern signal processing techniques for one-dimensional and two-dimensional signals. This means that the students are taught to pre-process real signals, to apply advanced signal analysis techniques, as well as to apply statistical signal filtering methods.
      The outcome Within this course, students will master the following skills: application of pre-processing techniques in order to unify real data and correct missing values and outliers; signal representation using different time-frequency transformations for easier filtering and visualization; signal filtering by statistical methods that separate independent sources from signal mixtures.
      Contents
      Contents of lectures Preprocessing and feature extraction. Characteristic parameters in the time and frequency domain. Hilbert transformation. Short-term Fourier transform. Continuous and discrete Wavelet transformation. Filtration and compression using Wavelet transformation. Hilbert-Huang transformation. Wigner-Will transformation. Principal component analysis. Independent component analysis.
      Contents of exercises none
      Literature
      1. Cohen, L. Time-frequency analysis. New Jersey: Prentice hall, 1995. (Original title)
      2. Huang, N.E. Hilbert-Huang transform and its applications. World Scientific, 2014. (Original title)
      3. Debnath, L., Shah, F.A., Wavelet transforms and their applications, 2nd edition. Boston: Birkhäuser, 2015 (Original title)
      4. Comon, P., Jutten, C. eds., Handbook of Blind Source Separation: Independent component analysis and applications. Academic press, 2010. (Original title)
      5. Gray, R.M., Davisson, L.D., An introduction to statistical signal processing. Cambridge University Press, 2004 (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      8
      Methods of teaching 8x15 hours of lectures
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures 0 Test paper 0
      Practical lessons 0 Oral examination 30
      Projects 70
      Colloquia 0
      Seminars 0