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An automatic harmonic selection scheme for measurements and calibration with the nonlinear vectorial network analyzer

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3 Author(s)
Van Moer, W. ; Vrije Univ., Brussels, Belgium ; Rolain, Y. ; Schoukens, Johan

This paper presents a method to automatically select the significant harmonics in spectra measured with the nonlinear vectorial network analyzer (NVNA). This stochastic selection criterion which is based on the t2 -distribution, allows saving and calibrating all of the significant spectral components, without the need for wild guessing of the number of signal-containing harmonics in the measured data. To enhance the sensitivity of the algorithm, a combined selection method is proposed. The usefulness of the method is proven on amplifier measurements performed by an NVNA

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Instrumentation and Measurement, IEEE Transactions on  (Volume:51 ,  Issue: 2 )