Nicola Giaquinto

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– The paper examines the problem of achieving a fast measurement of nonlinearity for a dithered converter. It is shown that, since dither removes small-scale systematic errors, measuring the remaining large-scale (smooth) nonlinearity can be efficiently achieved via a fast frequency domain test, formerly analyzed by the authors for conventional converters(More)
—In this paper, the use of the fast Fourier transform (FFT) test to measure the integral nonlinearity (INL) of analog-to-digital (A/D) converters is examined. The derived INL is a linear combination of Chebyshev polynomials, where the coefficients are the spurious harmonics of the output spectrum. The accuracy of the test is examined theoretically, in(More)
—The work presented in this paper builds on previous research done by the authors in detailing a novel procedure for obtaining a very fast measurement of the integral nonlinearity of an analog-to-digital converter (ADC). The core of the method is the parametric spectral estimation of the ADC output; the static characteristic is subsequently reconstructed as(More)
—The paper deals with the problem of measuring the moisture of agricultural soils by an accurate, on-site, real-time method. The idea is to estimate the moisture by measuring the speed of sound in the medium: the main issue is therefore to determine a precise relationship between the two quantities. To this purpose, the Brutsaert's model for elastic waves(More)
—In this paper, a new frequency-domain approach to measure and correct the static nonlinearity error of analog-to-digital converters is analyzed. The nonlinearity is measured as a linear combination of the Chebyshev polynomials, whose coefficients are derived via frequency-domain analysis, and corrected with a non-linear equation solving method, which makes(More)