Histogram Testing Determines DNL and INL Errors

Abstract: Also called code density test, the histogram test approach helps determine nonlinearity parameters such as differential and integral nonlinearities (INL and DNL) in data converters. The following application note lends insight into the mathematical relationship between probability density function and various data converter specifications required to successfully complete the histogram test
Maxim > App Notes > A/D and D/A CONVERSION/SAMPLING CIRCUITS HIGH-SPEED SIGNAL PROCESSING

Keywords: code density test, histogram testing, ADC, high-speed data converter, integral nonlinearity, INL, May 31, 2003
differential nonlienarity, DNL, sample record, code count, bin width, probability density function, confidence
level, hardware histogram

APPLICATION NOTE 2085
Histogram Testing Determines DNL and INL Errors

Abstract: Also called code density test, the histogram test approach helps determine nonlinearity parameters
such as differential and integral nonlinearities (INL and DNL) in data converters. The following application note
lends insight into the mathematical relationship between probability density function and various data converter
specifications required