Navigation

13M051ASO - Adaptive Systems for Control and Signal Processing

Course specification
Course title Adaptive Systems for Control and Signal Processing
Acronym 13M051ASO
Study programme Electrical Engineering and Computing
Module
Type of study master academic studies
Lecturer (for classes)
  • professor PhD Branko Kovačević
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition none
    The goal The aim of the case to present to students basic concepts in adaptivnoj signal processing and adaptive management. Mastering the methods of design for adaptive signal processing with emphasis on real problems and techniques of designing adaptive regulators for a wide class of deterministic, stochastic and nonlinear systems.
    The outcome Students will have the obligation to specific problems, using the software package MATLAB implementation of an adaptive method of signal filtering or adaptive regulator design.
    Contents
    Contents of lectures Exponential adaptive algorithms, adaptive echo cancellation, Multichannel adaptive filtering in the frequency domain techniques, noise reduction, adaptive ekvilizacija in wireless transmission, adaptive management of deterministic systems, functionally adaptive stochastic control systems.
    Contents of exercises Students have obligation to solve some practical problems using MATLAB toolboxes.
    Literature
    1. J. Benesty, Y. Huang, Adaptive Signal Processing, Springer, 2003
    2. Simon Fabri, Visakan Kadirkamanathan, Functional adaptive control, Springer, 2001.
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching 45 hours of lectures + 15 hours of auditory exercises
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 0
    Practical lessons 40 Oral examination 30
    Projects
    Colloquia 30
    Seminars 0