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This paper presents the procedure to improve the estimation of the basic sinusoidal signal parameters (frequency, amplitude, and phase, respectively)   in the case of signal sampling by averaging in the aperture time. Prior to estimation in the frequency domain by the interpolated DFT algorithms the sampled signal is padded with the signal average values in the aperture times and zeroes in the rest of the sampling interval. We can increase padding points and a number of the signal cycles in the whole measurement interval and with this nearing the errors to the level as with estimation of the signal without average sampling even the sampling Nyquist condition is not fulfill.

Signal and zero padding to improve parameters estimations of sinusoidal signals in the frequency domain