An FFT-based measurement technique, which can be easily used to determine accurately the frequency, amplitude, and phase of all the harmonic and interharmonic components of a distorted signal, is examined. Suitable windows and interpolation algorithms are examined in order to reduce undesirable effects due to spectral leakage caused by a sampling process that is not synchronized. Several results concerning the application of different windows on a set of simulated signals are compared to verify the capability of the proposed procedure. The influence of the noise is examined to study the filtering properties of the weighting functions.

Windows and Interpolation Algorithms to Improve Electrical Measurement Accuracy / Andria, G.; Savino, M.; Trotta, A.. - In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. - ISSN 0018-9456. - STAMPA. - 38:4(1989), pp. 856-863. [10.1109/19.31004]

Windows and Interpolation Algorithms to Improve Electrical Measurement Accuracy

Andria, G.;Savino, M.;Trotta, A.
1989-01-01

Abstract

An FFT-based measurement technique, which can be easily used to determine accurately the frequency, amplitude, and phase of all the harmonic and interharmonic components of a distorted signal, is examined. Suitable windows and interpolation algorithms are examined in order to reduce undesirable effects due to spectral leakage caused by a sampling process that is not synchronized. Several results concerning the application of different windows on a set of simulated signals are compared to verify the capability of the proposed procedure. The influence of the noise is examined to study the filtering properties of the weighting functions.
1989
Windows and Interpolation Algorithms to Improve Electrical Measurement Accuracy / Andria, G.; Savino, M.; Trotta, A.. - In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. - ISSN 0018-9456. - STAMPA. - 38:4(1989), pp. 856-863. [10.1109/19.31004]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/159
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