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DS2LIN - Linear and Nonlinear Signal Analysis

Course specification
Course title Linear and Nonlinear Signal Analysis
Acronym DS2LIN
Study programme Electrical Engineering and Computing
Module Telecommunications and Information Technologies
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 Giving to students basics of linear and nonlinear methods for signal analysis
      The outcome The outcomes are the skills for the use of different methods for analyzing and classification of complex signals and proceses
      Contents
      Contents of lectures Properties of complex spatio-temporal signals. Extraction of dominant signal components. Principal component analysis (PCA). Detrended fluctuattion analysis (DFA). Basic concepts of self-similarity. Description of complex structures and phenomena by fractal geometry and multifractals. Fractal and multifractal analyses and applications.
      Contents of exercises none
      Literature
      1. Oleg I. Sheluhin, Sergey M. Smolskiy, Andrey V. Osin, Self-Similar Processes in Telecommunications, John Wiley & Sons, 2007. (Original title)
      2. David Harte-Multifractals, Theory and Applications, Chapman and Hall, CRC, 2001. (Original title)
      3. P. Iannaccone, M. Khokha (Eds), Fractal Geometry in Biological Systems, CRC Press, 1996 (Original title)
      4. H. Peitgen, H. Jurgens, P. Andrews Chaos and Fractals, Springer, 1992 (Original title)
      5. Aktuelni članci iz časopisa (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      6
      Methods of teaching lectures and auditory exercises
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures 0 Test paper 70
      Practical lessons 0 Oral examination 0
      Projects 0
      Colloquia 30
      Seminars 0