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The interpolated fast Fourier transform: a comparative study

IEEE Transactions on Instrumentation and Measurement · 1992 · Vol. 41(2) · pp. 226–232
J. SchoukensRik PintelonHugo Van hamme

Abstract

The properties of five interpolating fast Fourier transform (IFFT) methods (IFFT) are studied with respect to their systematic errors and their noise sensitivity, for a monofrequency signal. It is shown that windows with small spectral side lobes do not always result in a better overall performance of the IFFT method and that time-domain estimators can be more efficient than the analyzed IFFT methods.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Advanced Electrical Measurement TechniquesMagnetic Properties and ApplicationsAdvancements in PLL and VCO TechnologiesFast Fourier transformEstimatorAlgorithmComputer scienceNon-uniform discrete Fourier transformSignal-to-noise ratio (imaging)Signal processingNoise (video)Discrete Fourier transform (general)Fourier transform
Citations
307
FWCI
3.16
field-weighted impact
References
15
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91%
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Cited by
Weighted multipoint interpolated DFT to improve amplitude estimation of multifrequency signal
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References
Windows and interpolation algorithms to improve electrical measurement accuracy
IEEE Transactions on Instrumentation and Measurement · 1989 · 397 citations
Single tone parameter estimation from discrete-time observations
IEEE Transactions on Information Theory · 1974 · 1,902 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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