2003
DOI: 10.1109/tcsi.2003.809775
|View full text |Cite
|
Sign up to set email alerts
|

Optimal linearity testing of analog-to-digital converters using a linear model

Abstract: To maintain an acceptable level of quality in the production of analog-to-digital converters (ADCs), the linearity metrics of every ADC has to be measured and checked against performance specification limits. As ADCs continue to improve in resolution, their testing has becoming increasingly demanding in terms of test time. In this paper, we demonstrate a technique for reducing the test time for ADCs. The technique is shown to be significantly better than currently available techniques and can be easily integra… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
4
0

Year Published

2006
2006
2017
2017

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 19 publications
(4 citation statements)
references
References 19 publications
0
4
0
Order By: Relevance
“…In ADC testing, a histogram shows how many times each output code appears in the response vector, regardless the location [5]. Linear ramp simplifies computation due to the proportionality of the step width to the number of hits of each code [5][6][7]. But the speed of the ramp has not to be too fast unless the code will not be hit as many times as needed in order to get the best resolution and repeatability [8].…”
Section: Introductionmentioning
confidence: 99%
“…In ADC testing, a histogram shows how many times each output code appears in the response vector, regardless the location [5]. Linear ramp simplifies computation due to the proportionality of the step width to the number of hits of each code [5][6][7]. But the speed of the ramp has not to be too fast unless the code will not be hit as many times as needed in order to get the best resolution and repeatability [8].…”
Section: Introductionmentioning
confidence: 99%
“…Significant research has been done to improve testing techniques of Analog to Digital Convertors (ADC's) parameters. For instance, some focused on improving classical methods such as Fourier transform and Sinusoidal Histogram in testing AC and DC performance [5][6][7][8][9]. While Fourier Transform is based on additive noise model and requires a large number of data samples [2], histogram testing has most samples occur near the ends of histogram (large number of samples must be collected to increase the height of bins around the center) [1,4].…”
Section: Introductionmentioning
confidence: 99%
“…It reduces test cost by using low precision input signals and reduces test time by sampling the overall set of ADC codes and using a least squares fitting algorithm to determine the coefficients of the input-output transfer function polynomial corresponding to the converter. Linear model based test is proposed in [7]- [8]. The approach builds a linear model in terms of code transition points and errors and measures only a defined subset of code transition levels.…”
Section: Introductionmentioning
confidence: 99%