2009
DOI: 10.1016/j.sigpro.2008.10.032
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Chaos in the APFM nonlinear adaptive filter

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Cited by 14 publications
(7 citation statements)
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“…The mathematical model of this APFM nonlinear adaptive filter is presented as [13] A ¼ −2μ 1 A sin 2 ϕ þ 2μ 1 sin ϕuðtÞ ω ¼ −μ 2 A 2 sin ð2ϕÞ þ 2μ 2 A cos ϕuðtÞ…”
Section: Chaotic Apfm Nonlinear Adaptive Filtermentioning
confidence: 99%
“…The mathematical model of this APFM nonlinear adaptive filter is presented as [13] A ¼ −2μ 1 A sin 2 ϕ þ 2μ 1 sin ϕuðtÞ ω ¼ −μ 2 A 2 sin ð2ϕÞ þ 2μ 2 A cos ϕuðtÞ…”
Section: Chaotic Apfm Nonlinear Adaptive Filtermentioning
confidence: 99%
“…The encoding function (12) associated to the Hénon map has an interesting property: for a binary polar message, we can observe from (12) that s 2 ðnÞ ¼ x 2 1 ðnÞ. Thus, fðsðnÞÞ ¼ fðx 1 ðnÞÞ does not depend on m(n).…”
Section: Communication System Using the Hénon Mapmentioning
confidence: 99%
“…Again, we have assumed that the same encoding function of the previous example [Eq. (12)] with x 2 ðnÞ in place of x 1 ðnÞ as in [19] and a binary message. It is important to notice that, differently from the communication system based on the Hénon map, the matrices A t and A r are now time-dependent and contain the nonlinear encoding function.…”
Section: Communication System Using the Ikeda Mapmentioning
confidence: 99%
See 1 more Smart Citation
“…Applications of chaos ranging from digital and analog modulation to cryptography, pseudorandom sequences generation and watermarking have been proposed (Kennedy & Kolumban, 2000;Kennedy, Setti & Rovatti, 2000;Stavroulakis, 2005;Tsekeridou et al, 2001). Chaos has also been shown in connection to devices used in signal processing such as nonlinear adaptive filters and phase-locked loop networks (Endo & Chua, 1988;Harb & Harb, 2004;Monteiro et al, 2009;Tavazoei & Haeri, 2009). In particular, many recent works have described digital modulations using chaotic carriers (Kennedy & Kolumban, 2000;Kennedy, Setti & Rovatti, 2000;Kolumban et al, 1997;Kolumban, Kennedy & Chua, 1998;Lau & Tse, 2003) even though their performance proved below that of equivalent conventional systems under additive white gaussian noise channel (Kaddoum et al, 2009;Williams, 2001).…”
Section: Introductionmentioning
confidence: 99%