Thesis Details
Evoluční návrh filtrů pro zpracování signálů
Kalman filter is used for signal filtering dependent on filter configuration and prediction of values. It's configuration is difficult and requires experiences of mathematician. This thesis deals with implementation of method for signal processing with use of Cartesian genetic programming, which advantage includes the automated configuration of filter. Final method is compared on multiple testing examples with Kalman filter. From results we can infer, that implemented method works comparatively efficient on periodic and exponential signal inputs, and works significantly better on constant signal inputs than Kalman filter.
adaptive filter, evolutionary design, Kalman filter, Cartesian genetic programming, artificial intelligence
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
@bachelorsthesis{FITBT16885,
author = "Tom\'{a}\v{s} Dobi\v{s}",
type = "Bachelor's thesis",
title = "Evolu\v{c}n\'{i} n\'{a}vrh filtr\r{u} pro zpracov\'{a}n\'{i} sign\'{a}l\r{u}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2016,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/16885/"
}