1999
DOI: 10.1109/19.799657
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A rigorous exposition of the LEMMA method for analog and mixed-signal testing

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Cited by 20 publications
(6 citation statements)
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“…Next, the complete measurement vector is predicted by = (̃̃ ) −1̃̃. A leisurely look at this approach and some refinements are provided in [101].…”
Section: Specification-based Test Compactionmentioning
confidence: 99%
“…Next, the complete measurement vector is predicted by = (̃̃ ) −1̃̃. A leisurely look at this approach and some refinements are provided in [101].…”
Section: Specification-based Test Compactionmentioning
confidence: 99%
“…In a process monitoring role, these estimates could potentially be used to quantify the deviation of production parts from their nominal design values. From a test engineering perspective, the extracted weights can be exploited in linear error mechanism modeling [8], [10].…”
Section: B Determination Of Resistance Ratiosmentioning
confidence: 99%
“…This observation can be exploited in defining model-based trim, design, and test strategies [10] for -ladder DAC's.…”
mentioning
confidence: 99%
“…The ultimate aim is to automate the development of test procedures and to ensure an optimal trade-off between test time per part and the confidence of the test result. A paradigm, called the Linear Error Mechanism Modeling Algorithm has been developed and a tutorial introduction of this algorithmic approach is given in [1].Strategies to develop linear models for parametric-faults, such as the integral nonlinearity (INL) of a DAC or ADC, caused by spreads in on-chip component values have been independently implemented in two software packages [4,5]. Both implementations select test points by unconstrained minimization of the prediction variance of the linear model.…”
mentioning
confidence: 99%
“…The ultimate aim is to automate the development of test procedures and to ensure an optimal trade-off between test time per part and the confidence of the test result. A paradigm, called the Linear Error Mechanism Modeling Algorithm has been developed and a tutorial introduction of this algorithmic approach is given in [1].…”
mentioning
confidence: 99%