IEEE Transactions on Instrumentation and Measurement · 2010 · 75 citations · 12 references
EngineeringComputer ScienceElectrical EngineeringBiomedical Signal ProcessingComputational AcousticsTime Series AnalysisDigital Signal ProcessingFourier AnalysisFrequency-domain AnalysisSignal ProcessingSpectral AnalysisTime-frequency AnalysisData Processing AlgorithmsDiscrete Fourier TransformExperimental Results InterpretationFast Fourier TransformFourier TransformFrequency Domain ProcessingHarmonic Spectrum AnalysisSpectral Interpolation
The evaluation of the spectral components of a signal by means of discrete Fourier transform or fast Fourier transform algorithms is subject to leakage errors whenever the sampling frequency is not coherent with the signal frequency. Smoothing windows are used to mitigate these errors, and interpolation methods are applied in the frequency domain to reduce them further on. However, if cosine windows are employed, closed-form formulas for the evaluation of harmonic frequencies can be used only with the Rife-Vincent class I windows, while approximated formulas have to be used in other cases. In both cases, a high computation burden is required. This paper proposes a fast interpolation method, independent of the window type and order, based on suitable lookup tables. Experimental results are reported, and the accuracy is discussed, proving that the method provides results as good as those obtained with other methods, without requiring the same high computation burden.
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