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 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. (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
        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