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Electronics 2018, 7(12), 450; https://doi.org/10.3390/electronics7120450

Filtering Techniques for Chaotic Signal Processing

1
Youth Research Institute, St. Petersburg Electrotechnical University “LETI”, St. Petersburg 197376, Russia
2
Department of Computer-Aided Design, St. Petersburg Electrotechnical University “LETI”, St. Petersburg 197376, Russia
3
Department of Automation and Control Processes, St. Petersburg Electrotechnical University “LETI”, St. Petersburg 197376, Russia
*
Author to whom correspondence should be addressed.
Received: 16 November 2018 / Revised: 13 December 2018 / Accepted: 17 December 2018 / Published: 19 December 2018
(This article belongs to the Section Circuit and Signal Processing)
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Abstract

The vulnerability of chaotic communication systems to noise in transmission channel is a serious obstacle for practical applications. Traditional signal processing techniques provide only limited possibilities for efficient filtering broadband chaotic signals. In this paper, we provide a comparative study of several denoising and filtering approaches: a recursive IIR filter, a median filter, a wavelet-based denoising method, a method based on empirical modes decomposition, and, finally, propose the new filtering algorithm based on the cascade of driven chaotic oscillators. Experimental results show that all the considered methods make it possible to increase the permissible signal-to-noise ratio to provide the possibility of message recognition, while the new proposed method showed the best performance and reliability. View Full-Text
Keywords: chaos; communication systems; chaotic synchronization; denoising; secure communications; digital signal processing; filtering; empirical modes decomposition chaos; communication systems; chaotic synchronization; denoising; secure communications; digital signal processing; filtering; empirical modes decomposition
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Butusov, D.; Karimov, T.; Voznesenskiy, A.; Kaplun, D.; Andreev, V.; Ostrovskii, V. Filtering Techniques for Chaotic Signal Processing. Electronics 2018, 7, 450.

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