Navigation

19M031AOS - Adaprive Signal Processing

Course specification
Course title Adaprive Signal Processing
Acronym 19M031AOS
Study programme Electrical Engineering and Computing
Module
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition
The goal Objective of the course is to teach students adaptive signal processing techniques. The focus is on usage of adaptive signal processing concepts in telecommunications.
The outcome Students will be able to: -implement defined adaptive filter structures and related adaptive algorithms -modify and adjust adaptive systems -apply adaptive signal processing techniques to solving problems related to telecommunications -use MATLAB (MATLAB clone) for design and analysis of adaptive digital filters and algorithms and for realization and simulation of adaptive systems.
Contents
Contents of lectures Discrete stochastic processes, autoregressive models, general properties of adaptive algorithms, Wiener filter, linear prediction, Least-mean-square LMS adaptive filters, algorithms derived from LMS, Recursive Least Square RLS algorithm, Kalman filter, filter structures, application of adaptive filters in telecommunications, channel equalization, blind equalization.
Contents of exercises Algorithms analysis and synthesis in MATLAB (MATLAB clone). Programing of DSP processor (evaluation board).
Literature
  1. S. Haykin, Adaptive Filter Theory, Prentice Hall, 2002 (Original title)
  2. A. D. Poularikas, Z. M. Ramadan, Adaptive Filtering Primer with MATLAB, CRC Press, 2006 (Original title)
  3. S. Mitra, Digital Signal Processing: A Computer Based Approach, Mc Graw Hill, 2006. (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
3 1 1
Methods of teaching lectures, lectures, exercises, laboratory exercises, homeworks
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