A maximum likelihood (ML) estimator is derived for the problem of measuring the code transition levels of an analog-to-digital converter (ADC). The proposed method is intended to test the linearity of 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 ML estimator, which are thoroughly examined. The reported analysis allows the design of the test under a given uncertainty constraint. (C) 2009 Elsevier B.V. All rights reserved.
|Titolo:||Maximum likelihood estimation for linearity testing of ADCs stimulated by known constant signals|
|Data di pubblicazione:||2010|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1016/j.csi.2009.11.006|
|Appare nelle tipologie:||1.1 Articolo in rivista|