A power spectrum density approximation of random signals on a finite interval in the basis of discrete-continual exponential function
Approximation technique of power spectrum density of discrete random signals on a finite time interval, based on the recurrent circulant model of the second dynamic order is presented. Exact analytic expressions of spectrum density the signals in the basis of discrete-continual exponential function are produced. Simulation results confirming а good property of approximation are presented.