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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Adaptive Methods of Signal Processing

The course is not on the list Without time-table
Code Completion Credits Range
XP35AAD ZK 4 2+1s
Lecturer:
Tutor:
Supervisor:
Department of Control Engineering
Synopsis:

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.

Requirements:
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.

http://homes.esat.kuleuven.be/~moonen/asp_course.html

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-03-22
For updated information see http://bilakniha.cvut.cz/en/predmet11519604.html