SOME APPROACHES TO HISTOGRAM PROCESSING IN EXPONENTIAL STIMULUS ADC TEST

Linus Michaeli, Ján Šaliga, Michal Sakmár, Ján Buša

Abstract

The paper presents a new approach to processing of the cumulative code histograms obtained at ADC histogram testing by exponential stimulus signal. The analytical base model requires calculation of logarithms that may not be convenient for implementation in some applications. The authors proposed two new approximation models of cumulative and code histograms derived from the analytical base model: recurrent model with rectangular rule and asymptotic model with the goal to simplify approximation process. The recurrent model is convenient for the implementation especially in digital signal processor because it uses only basic arithmetic operations. Estimation process using this model is also faster than using base one. The asymptotic model enables the fastest approximation of required parameters. The models were experimentally compared by simulation using Levenberg–Marquardt and Newton iteration algorithms.

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IMEKO-IWADC-2008-074.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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