IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004
DOI: 10.1109/vetecf.2004.1400212
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Chaotic binary sequences for efficient wireless multipath channel estimation

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Cited by 4 publications
(4 citation statements)
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“…It exhibits exponential divergence from adjacent starting points leading to unpredictability due to finite precision of the initial conditions. A chaotic map is a polynomial mapping which is a good example of how complex, chaotic behaviour can be obtained from very simple non-linear dynamical equations [14], [16], [13], [15]. A particularly interesting candidate for a chaotic sequence generator is the family of Chebyschev polynomials, whose nonlinear properties are amenable to rigorous mathematical analysis [14].…”
Section: B Chaotic Communicationsmentioning
confidence: 99%
“…It exhibits exponential divergence from adjacent starting points leading to unpredictability due to finite precision of the initial conditions. A chaotic map is a polynomial mapping which is a good example of how complex, chaotic behaviour can be obtained from very simple non-linear dynamical equations [14], [16], [13], [15]. A particularly interesting candidate for a chaotic sequence generator is the family of Chebyschev polynomials, whose nonlinear properties are amenable to rigorous mathematical analysis [14].…”
Section: B Chaotic Communicationsmentioning
confidence: 99%
“…It exhibits exponential divergence from adjacent starting points leading to unpredictability due to finite precision of the initial conditions. A chaotic map is a polynomial mapping which is a good example of how complex, chaotic behaviour can be obtained from very simple non-linear dynamical equations [13,16,15,14]. A particularly interesting candidate for a chaotic sequences generator is the family of Chebyschev polynomials, whose nonlinear properties are amenable to rigorous mathematical analysis [13].…”
Section: B Chaotic Sequencementioning
confidence: 99%
“…The CPSLR degradation observed in proposed S100 codes is inherent to its construction. Alternatively, one can utilize evolutionary techniques for the multiple-objective code optimization encountered in CS100 code design [27].…”
mentioning
confidence: 99%