Ta. Aliev et Ta. Ali-zade, Robust algorithms for spectral analysis of the technological parameters ofindustrial plants, AUTOM C C S, 33(5), 1999, pp. 38-44
It is shown that, in spectral analysis, different types of noise in the tec
hnological parameters produce significant distortions in the values of thes
e: parameters. The reason for this circumstance is that in the course: of p
rocessing the data, there arises a difference between the microscopic error
s of the positive and negative paired products of the readings of the signa
ls which are being analyzed, on the one hand, and the readings of the cosin
e and sine curves. As a consequence, the estimators of the coefficients of
the Fourier series will vary outside the range of variation of the noise, a
result that makes it difficult to apply well-known algorithms for solving
numerous problems. Robust algorithms are proposed that eliminate any depend
ence of the desired estimators on the parameters of the noise.