Digital spectral analysis based on sign two-level transformation of continuous random processes and asymptotically unbiased estimation of the correlation function

Abstract

The problem of increasing the computing efficiency of digital evaluation of the spectral power density of random processes whose solution is based on the sign method of primary transformation for test processes using random auxiliary signals is considered. Results are provided for experimental studies.