Influence of Color Noise on Processing of Optical Signals by Swarm Intellect Algorithm
Kazan Federal University, 18 Kremlevskaya Str. Kazan 420008, Russia
a Corresponding author: email@example.com
Published online: 25 September 2015
An approach based on stochastic particle swarm optimization was applied for the mathematical processing of spectral profiles with noise. To test the algorithm’s stability with respect to noise, we used the noises with different values of the Hurst index which characterizes noise component from the point of view of prevalence of low-frequency or high-frequency component in it. The Hurst index varied from 0.1 to 0.9. An influence of color noise with level from 1 to 10% on processing of optical signals by particle swarm optimization algorithm was analyzed. This method is shown to be stable with respect to noise with the level of 10% if it’s the Hurst index does not exceed the value of 0.5.
Key words: spectral contour / particle swarm optimization / Hurst index / color noise
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