Abstract
Nowadays chaotic modelling of real phenomena in electrical engineering problems, particularly in communications, control, etc, is a topic of growing interest. Therefore, the filtering of chaos is one of the most important techniques for many applications including those which are related to real- time regime conditions. These applications include, but are not limited to chaos-based communication system synchronization, real-time control of chaos, radio-frequency interference filtering and mitigation, chaotic system identification, etc. This chapter presents among well known original results of a study of nonlinear filtering of chaotic signals in presence of additive white Gaussian noise (AWGN) and related topics.
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Kontorovich, V., Lovtchikova, Z. (2013). Nonlinear Filtering of Chaos for Real Time Applications. In: Kyamakya, K., Halang, W., Mathis, W., Chedjou, J., Li, Z. (eds) Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering. Studies in Computational Intelligence, vol 459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34560-9_3
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DOI: https://doi.org/10.1007/978-3-642-34560-9_3
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