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Record W2151659230 · doi:10.1109/jssc.2010.2076591

A 2.1-to-2.8-GHz Low-Phase-Noise All-Digital Frequency Synthesizer With a Time-Windowed Time-to-Digital Converter

2010· article· en· W2151659230 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsnot available
FundersTDC Research
KeywordsTime-to-digital converterPhase noiseElectronic engineeringVernier scaleCMOSPhase-locked loopChipElectrical engineeringFrequency synthesizerBandwidth (computing)Computer scienceEngineeringJitterPhysicsTelecommunicationsOpticsClock signal

Abstract

fetched live from OpenAlex

A 2.1-to-2.8-GHz low-power consumption all-digital phase locked loop (ADPLL) with a time-windowed time-to-digital converter (TDC) is presented. The time-windowed TDC uses a two-step structure with an inverter- and a Vernier-delay time-quantizer to improve time resolution, which results in low phase noise. Time-windowed operation is implemented in the TDC, in which a single-shot pulse-based operation is used for low power consumption. The test chip implemented in 90-nm CMOS technology exhibits in-band phase noise of , where the loop-bandwidth is set to 500 kHz with a 40-MHz reference signal, and out-band noise of at a 1-MHz offset frequency. The chip core occupies 0.37 and the measured power consumption is 8.1 mA from a 1.2-V power supply.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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