Effect of color noise on the processing of optical signals using the swarm intellect algorithm


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

An approach based on stochastic particle swarm optimization is used for the mathematical processing of spectral profiles with noise. Noises with different values of the Hurst index, which characterizes the noise component based on the prevalence of its low- or high-frequency components, is used to test the algorithm’s stability with respect to noise. The Hurst index is varied from 0.1 to 0.9. The effect color noise with levels of 1 to 10% has on the processing of optical signals using the particle swarm optimization algorithm is analyzed. The method is shown to be stable with respect to noise with a level of 10% if the Hurst index does not exceed a value of 0.5.

作者简介

D. Galimullin

Kazan Federal University

Email: dina.kamalova@kpfu.ru
俄罗斯联邦, Kazan, 420008

M. Sibgatullin

Kazan Federal University

Email: dina.kamalova@kpfu.ru
俄罗斯联邦, Kazan, 420008

D. Kamalova

Kazan Federal University

编辑信件的主要联系方式.
Email: dina.kamalova@kpfu.ru
俄罗斯联邦, Kazan, 420008

M. Salakhov

Kazan Federal University; Academy of Sciences of the Republic of Tatarstan

Email: dina.kamalova@kpfu.ru
俄罗斯联邦, Kazan, 420008; Kazan, 420111

补充文件

附件文件
动作
1. JATS XML

版权所有 © Allerton Press, Inc., 2016