DocumentCode
3418962
Title
An immuno inspired approach to generate white noise
Author
Giesbrecht, Mateus ; Bottura, Celso Pascoli
Author_Institution
Machine, Components & Intell. Syst. Dept. (DMCSI), Campinas State Univ. (Unicamp), Campinas, Brazil
fYear
2011
fDate
19-21 Oct. 2011
Firstpage
742
Lastpage
749
Abstract
In this paper a new method to generate white noise is proposed. This method is based on viewing the white noise generation as an optimization problem and solving this problem with an immuno inspired algorithm. The white noise approximation obtained with the proposed method is nearer the ideal white noise than a series generated with a known pseudo random generator. The signal obtained with the new method was also applyed to discrete time series state space realization problem implying on results improvement.
Keywords
approximation theory; artificial immune systems; state-space methods; time series; white noise; discrete time series state space realization problem; immuno inspired approach; optimization problem; pseudorandom generator; white noise approximation; white noise generation; Covariance matrix; Equations; Generators; Mathematical model; Matrix decomposition; Time series analysis; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-61284-374-2
Type
conf
DOI
10.1109/IWACI.2011.6160106
Filename
6160106
Link To Document