Statistical aspects of chaotic maps with negative dependence in a communications setting

It is shown that a class of tailed shift chaotic maps can be designed with substantial negative dependence, both linear and non-linear, and that exten ded Perron-Frobenius theory gives their dependence structure. Using a simpl ified chaos-based communication system, it is shown that chaotic spreading sequences with low kurtosis and negative non-linear mean-centred quadratic autocorrelations can improve bit-received accuracy. This quadratic form of non-linear dependence Is investigated and shown to be statistically sensibl e.