Title: Determining statistical parameters of ADC using probability-based histogram method with noise as stimuli

Authors: Bhawana Garg; Deepak Kumar Mishra

Addresses: Department of Electronics and Instrumentation, SGSITS, Indore, M.P., India ' Department of Electronics and Instrumentation, SGSITS, Indore, M.P., India

Abstract: This paper aims for the estimation of an analogue to digital converter (ADC) parameters using probability-based histogram method with white Gaussian noise as stimuli. ADC characterisation based on this methodology is described and error in computing the code transition level with suggested corrective action is reported. Uncertainty in the computation of effective number of bits (ENOB) is investigated and simulation results for an 8-bit ADC is presented and compared with other existing methods.

Keywords: differential nonlinearity; DNL; effective number of bits; ENOB; gain; histogram technique; integral nonlinearity; INL; white Gaussian noise.

DOI: 10.1504/IJIT.2018.090870

International Journal of Instrumentation Technology, 2018 Vol.2 No.1, pp.50 - 61

Received: 13 Apr 2017
Accepted: 06 Sep 2017
Published online: 30 Mar 2018 *