Statistical properties of an ML estimator for static ADC testing

A maximum likelihood estimator is derived for the problem of measuring the code transition levels of an ADC. The proposed method is intended to characterize the ADC in the static regime, using only constant test signals, except for a small amount of additive noise. The measurement data are employed in a nearly optimal manner, due to the statistical properties of the maximum likelihood estimator, which are thoroughly examined. The reported analysis allows the design of the test under a given uncertainty constraint.