Adaptive Methods of Signal Processing
- Department of Control Engineering
Introduction into the linear regression methods, prediction models. Fast algorithms for linear regression (LMS and RLS algorithms).Parallel implementation of algorithms for identification (lattice, QR). Corresponding programming languages (Prarallel C, threads). Source of information aboutsignal and parallel processors. Fast and parallel signal processors. Communication between a prosessor and a shell system. Signal and RISC processor programming using Matlab environment.
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
- Study materials:
Marc Moonen & Ian Proudler, An Introduction to Adaptive Signal Processing
KUL Leuven, Course Notes 1999.
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: