13D031LIN - Linear and Nonlinear Signal Analysis

Course specification
Course title Linear and Nonlinear Signal Analysis
Acronym 13D031LIN
Study programme Electrical Engineering and Computing
Module Telecommunications
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 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
      1. Oleg I. Sheluhin, Sergey M. Smolskiy, Andrey V. Osin, Self-Similar Processes in Telecommunications, John Wiley & Sons, 2007.
      2. David Harte-Multifractals, Theory and Applications, Chapman and Hall, CRC, 2001.
      3. P. Iannaccone, M. Khokha (Eds), Fractal Geometry in Biological Systems, CRC Press, 1996
      4. H. Peitgen, H. Jurgens, P. Andrews Chaos and Fractals, Springer, 1992
      5. Aktuelni članci iz časopisa
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      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
      Colloquia 30
      Seminars 0