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Windows and interpolation algorithms to improve electrical measurement accuracy

IEEE Transactions on Instrumentation and Measurement · 1989 · Vol. 38(4) · pp. 856–863
G. AndriaM. SavinoAngelo Trotta

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Advanced Electrical Measurement TechniquesPower Quality and HarmonicsMagnetic Properties and ApplicationsSpectral leakageInterpolation (computer graphics)WeightingFast Fourier transformAlgorithmComputer scienceNoise (video)Harmonic analysisAmplitudeElectronic engineering
Citations
397
FWCI
3.97
field-weighted impact
References
11
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93%
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Cited by
The interpolated fast Fourier transform: a comparative study
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References
Random data: Analysis and measurement procedures
Mechanical Systems and Signal Processing · 1987 · 2,366 citations
High-Accuracy Analog Measurements via Interpolated FFT
IEEE Transactions on Instrumentation and Measurement · 1979 · 428 citations
Interpolation Algorithms for Discrete Fourier Transforms of Weighted Signals
IEEE Transactions on Instrumentation and Measurement · 1983 · 461 citations
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