The influence of systematic errors caused by the infleunce of the imaginary part in the spectrum of a sinusoidal signal on the estimator of its normalized frequency is analyzed by means of a discrete Fourier transformation with interpolation and a window with maximal rate of descent of the side lobes. An expression for the absolute error of the normalized frequency is presented and a condition for the minimal integral number of cycles of the sine curve is found; note that computation of the actual integral number of cycles enables us to assure that this error will be less than some specific value. The reliability of the expressions that are obtained is confirmed by a computer simulation.
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References
S. L. Marple, Digital Spectral Analysis, Prentice-Hall, New Jersey (1987).
F. J. Harris, Proc. IEEE, 66, No. 1, 51 (1978).
T. Grandke, IEEE Trans. Instrum. Meas., IM-32, No. 2, 350 (1983).
C. Offelli and D. Petri, IEEE Trans. Instrum. Meas., 39, No. 1, 106 (1990).
G. Andria, M. Savino, and A. Trotta, IEEE Trans. In strum. Meas., 38, No. 4, 856 (1989).
A. H. Nuttall, IEEE Trans. Acoustics, Speech, and Signal Proc., ASSP-29 (1), 84 (1981).
D. Belega, L’Academie Roumaine. Revue Roumaine des Sciences Techniques. Serie Electrotechnique et Energetique, No. 3, 349 (2005).
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Translated from Izmeritel’naya Tekhnika, No. 2, pp. 26–30, February, 2009.
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Belega, D., Zaporojan, S. Assessment of influence of systematic errors on the precision with which the normalized frequency of a sinusoidal signal is determined by means of a discrete fourier transformation with interpolation. Meas Tech 52, 148–154 (2009). https://doi.org/10.1007/s11018-009-9239-x
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DOI: https://doi.org/10.1007/s11018-009-9239-x