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Avtometriya

2009 year, number 5

Increasing the Estimation Accuracy of Correlation Functions of Discrete Signals

S. V. Len'kov
Keywords: mutual correlation function, fast Fourier transform, quadrature formulas
Pages: 27-33

Abstract

An improved algorithm is proposed to calculate the mutual correlation functions (MCFs) of signals using the fast Fourier transform, the quadrature formulas of the trapezoidal method, and the Simpson method. The calculation error of MCFs is analyzed by comparing MCFs obtained for continuous finite signal samples and MCFs obtained using improved calculation algorithms for discrete signal samples. It is shown that these algorithms for calculating MCFs provide a more accurate primary estimate of MCFs. Improved calculation algorithms are described.