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

  • Proceedings of the XII International Readings on Quantum Optics (Moscow–Troitsk, August 11–16, 2015)
  • Published:
Bulletin of the Russian Academy of Sciences: Physics Aims and scope

Abstract

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.

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Authors and Affiliations

  1. Kazan Federal University, Kazan, 420008, Russia

    D. Z. Galimullin, M. E. Sibgatullin, D. I. Kamalova & M. Kh. Salakhov

  2. Academy of Sciences of the Republic of Tatarstan, Kazan, 420111, Russia

    M. Kh. Salakhov

Authors
  1. D. Z. Galimullin
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  2. M. E. Sibgatullin
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  3. D. I. Kamalova
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  4. M. Kh. Salakhov
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Corresponding author

Correspondence to D. I. Kamalova.

Additional information

Original Russian Text © D.Z. Galimullin, M.E. Sibgatullin, D.I. Kamalova, M.Kh. Salakhov, 2016, published in Izvestiya Rossiiskoi Akademii Nauk. Seriya Fizicheskaya, 2016, Vol. 80, No. 7, pp. 934–937.

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Galimullin, D.Z., Sibgatullin, M.E., Kamalova, D.I. et al. Effect of color noise on the processing of optical signals using the swarm intellect algorithm. Bull. Russ. Acad. Sci. Phys. 80, 855–858 (2016). https://doi.org/10.3103/S106287381607011X

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  • DOI: https://doi.org/10.3103/S106287381607011X

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