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Record W2162281676 · doi:10.1109/vtest.1996.510896

Oscillation-test strategy for analog and mixed-signal integrated circuits

2002· article· en· W2162281676 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVLSI and Analog Circuit Testing
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsOscillation (cell signaling)Analogue electronicsAutomatic test pattern generationElectronic circuitElectronic engineeringComputer scienceOperational amplifierTest methodMixed-signal integrated circuitDesign for testingAmplifierControl theory (sociology)EngineeringElectrical engineeringMathematicsArtificial intelligenceCMOSStatistics

Abstract

fetched live from OpenAlex

A new low-cost test method for analog integrated circuits, called oscillation-test, is presented. During the test mode, the circuit under test (CUT) is converted to a circuit that oscillates. Faults in the CUT which cause a reasonable deviation of the oscillation frequency from its nominal value can be detected. Using this test method, no test vector is required to be applied. Therefore, the test vector generation problem is eliminated and the test time is very small because a limited number of oscillation frequencies is evaluated for each CUT. Due to its digital nature, the oscillation frequency can be easily interfaced to boundary scan. This characteristics imply that oscillation-test strategy is very attractive for wafer-probe testing as well as final production testing. In this paper, the validity of the proposed test method has been verified throughout some examples such as operational amplifiers and analog-to-digital converter (ADC).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.246
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations170
Published2002
Admission routes1
Has abstractyes

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