STATISTICAL PROPERTIES OF AN ML ESTIMATOR FOR STATIC ADC TESTING

Attilio Di Nisio, Laura Fabbiano, Nicola Giaquinto, Mario Savino
Abstract:
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.
Keywords:
maximum likelihood estimation, Cramer-Rao bound, constant excitation, constant input, ADC test
Download:
IMEKO-IWADC-2007-F154.pdf
DOI:
-
Event details
IMEKO TC:
TC4
Event name:
IWADC 2007
Title:

12th IMEKO TC4 International Workshop on ADC Modeling and Testing IWADC (together with XVth IMEKO TC4 International Symposium on Novelties in Electrical Measurements and Instrumentation) (IWADC)

Place:
Iasi, ROMANIA
Time:
19 September 2007 - 21 September 2007