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Record W1902647564 · doi:10.1109/test.1995.529939

A built-in self-test strategy for wireless communication systems

2002· article· en· W1902647564 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVLSI and Analog Circuit Testing
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBasebandIntermodulationWirelessElectronic engineeringComputer scienceCommunications systemBand-pass filterRadio frequencySoftware-defined radioTelecommunicationsElectrical engineeringEngineeringBandwidth (computing)Amplifier

Abstract

fetched live from OpenAlex

Wireless communication is a rapidly expanding field and considerable research effort is underway. Electronic system manufacturers are actively trying to incorporate all of the RF, IF and baseband functions on the fewest possible ICs so as to reduce system size and cost, and to improve overall system performance. Unfortunately, without a coherent test strategy, any cost reduction gained by miniaturization will be offset by increased testing costs. In this work we propose a built-in self-test scheme for bandpass type systems such as those used in wireless communication devices. The scheme is centered around a high frequency oscillator based on bandpass delta-sigma modulation techniques and a digital extraction method. We will show through experiments that measures meaningful to the analog test engineer such as signal-to-noise ratio, frequency response and intermodulation distortion are obtainable with this method.

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 score0.990
Threshold uncertainty score0.275

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 science0.0010.000
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 head0.057
GPT teacher head0.263
Teacher spread0.206 · 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

Citations69
Published2002
Admission routes2
Has abstractyes

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