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
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;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
DOI :
10.1109/IWACI.2011.6160106
