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Record W2147500096 · doi:10.1109/jssc.2007.900292

70-GHz Effective Sampling Time-Base On-Chip Oscilloscope in CMOS

2007· article· en· W2147500096 on OpenAlexaff
Mona Safi-Harb, Gordon W. Roberts

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsChipCMOSOscilloscopeElectronic engineeringUndersamplingComputer scienceCalibrationMultiplexerElectrical engineeringComputer hardwareEngineeringVoltageMultiplexingPhysicsTelecommunications

Abstract

fetched live from OpenAlex

This paper examines a time-base measurement system for on-chip digitization. Undersampling, combined with single-path time-domain amplification and processing, is used to perform the embedded measurement in a time-efficient manner. The proposed system relies on simple circuit components while performing high-speed measurements. Additionally, ease of calibration with minimal silicon area overhead renders the system attractive from a design-for-test perspective. The circuit was implemented in a 0.18-mum standard digital CMOS process using a single 1.8-V supply. On-chip interconnect crosstalk generation with variable strength is included on chip for characterization, and successfully measured using the prototype chip. An effective 70-GHz sampling rate is experimentally obtained from the implemented on-chip oscilloscope, with a voltage resolution of 4 mV. The estimated static power dissipation is ~3.5 mW, with a total active area of 0.45 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> taken up by the associated test and calibration vehicles.

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.

How this classification was reachedexpand

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.285
Teacher spread0.265 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2007
Admission routes1
Has abstractyes

Explore more

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