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

This paper presents a method to automatically select the significant harmonics in spectra measured with the nonlinear vectorial network analyser. This stochastic selection criterion is based on the t/sup 2/-distribution. The method allows one to save and calibrate all and only significant spectral components, without the need for wild guessing the number of significant harmonics in the measured data.