Title
A Histogram-Based Testing Method for Estimating A/D Converter Performance
Abstract
A sine-wave histogram-testing structure for analog-to-digital converters (ADCs) is proposed. The ADC static parameters, i.e., offset error, gain error, and nonlinearity errors, are directly obtained from the sine-wave histogram test. Then, the obtained static parameters are related to the estimation of the degraded signal-to-noise ratio (SNR) value. Therefore, the relationships among these parameters are analyzed, and a single sine-wave histogram test can be performed to evaluate the ADC. With the appropriate approximations in the reference sine-wave histograms and the estimations of the ADC parameters, the realization of an ADC output analyzer circuit could be a simple task. An ADC output analyzer circuit is therefore developed and synthesized using a 0.18-mum technique to analyze the outputs of an 8-bit ADC and estimate its performances using the proposed method.
Year
DOI
Venue
2008
10.1109/TIM.2007.910106
IEEE T. Instrumentation and Measurement
Keywords
Field
DocType
sine-wave histogram test,offset error,gain error,nonlinearity errors,nonlinearity error,analogue-digital conversion,parameter estimation,sine-wave histogram-testing structure,analog-to-digital converters,degraded signal-to-noise ratio (snr) value,analog-to-digital converters (adcs),size 0.18 mum,adc output analyzer circuit,a/d converter,static parameters,circuit testing,signal-to-noise ratio,signal to noise ratio,test methods
Flight dynamics (spacecraft),Histogram,Computer science,Signal-to-noise ratio,Electronic engineering,Effective number of bits,Estimation theory,Successive approximation ADC,Spectrum analyzer,Offset (computer science)
Journal
Volume
Issue
ISSN
57
2
0018-9456
Citations 
PageRank 
References 
16
1.05
8
Authors
3
Name
Order
Citations
PageRank
Hsin-Wen Ting1418.81
Bin-da Liu256366.56
Soon-Jyh Chang365573.67