Development of software for information-measuring Systems for frequency analysis of binary-quantized Signals

Abstract

The article discusses the methodology and design template for a complex of structurally, functionally, informationally and metrologically compatible software modules that implement algorithms for calculating estimates of the PSD power spectral density based on binary-signed analog-stochastic quantization with reduced multiplicative complexity. Algorithmic support makes it possible to calculate PSD estimates by the method of averaged modified periodograms and by the correlogram method using time correlation windows based on a discrete-event representation of the results of binary-sign analog-stochastic quantization. This approach made it possible to perform integration operations analytically, which eliminates the methodological error caused by performing these operations in digital form. In addition, the multiplication operations degenerate into procedures that basically require the execution of logical operations and simple arithmetic operations of summing and subtracting the values of the correlation windows, which significantly reduces the complexity of estimating the PSD.