Modeling and processing of fluctuating signals with staggered period

Abstract

This work aims to modify the structure of frequency-multichannel filter for processing fluctuating signals with staggered period, analyze the efficiency of the modified filter and estimate additional computational costs required for its implementation in comparison with frequency-multichannel filter based on the fast Fourier transform (FFT). We also consider the issues involved in simplification of modeling random staggered-period signals by means of the parallel structure of autoregressive filters.