Analysis of Cyclostationary Stochastic Electromagnetic Fields

Second order CS stochastic processes are non-stationary stochastic processes, where the TDCM depends on the global time and the time difference, and the dependence on the global time is periodic. This autocorrelation function can be represented by a 2D cyclic correlation spectrum containing delta functions at frequencies multiple to the cycle frequency of the stochastic process. Accordingly a CS stochastic EM field can be represented in frequency domain by a cyclic correlation dyadic. containing corresponding delta functions. The experimental characterization of the CS stochastic process shows the presence of spikes at frequencies multiple to the cycle frequency coinciding with the signal transmission rate on 1000BASE-T Gigabit Ethernet twisted-pair cable.     «

Second order CS stochastic processes are non-stationary stochastic processes, where the TDCM depends on the global time and the time difference, and the dependence on the global time is periodic. This autocorrelation function can be represented by a 2D cyclic correlation spectrum containing delta functions at frequencies multiple to the cycle frequency of the stochastic process. Accordingly a CS stochastic EM field can be represented in frequency domain by a cyclic correlation dyadic. containing...     »