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Record W1974511088 · doi:10.1109/icecs.2014.7049908

An 8Gb/s 0.75mW/Gb/s injection-locked receiver with constant jitter tracking bandwidth and accurate quadrature clock generation in 40nm CMOS

2014· article· en· W1974511088 on OpenAlexaff
Shuai Chen, Ao Qi, Jing Hua, Xiaobing Shi, Meng Shiguang, Xinke Chen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcMaster University
Fundersnot available
KeywordsJitterCMOSElectronic engineeringBandwidth (computing)Computer scienceQuadrature (astronomy)Phase-locked loopElectrical engineeringControl theory (sociology)EngineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper presents an energy-efficient forwarded-clock receiver in 40nm CMOS process. The receiver adopts injection-locked ring oscillator (ILRO) to implement jitter filtering and phase deskew. The proposed cascaded ILROs enable our receiver to maintain a constant jitter tracking bandwidth (JTB) for good jitter tolerance and generate accurate quadrature clocks for quarter-rate sampling. The first-stage ILRO is used to control the JTB and filter out the high-frequency clock jitter that cannot track the data jitter. The second-stage ILRO is injected by the first one's outputs to generate precise quadrature clocks for phase shifting and deskew. The simulation results show our receiver can work at 8Gb/s and consume only 6mW under a 0.9V power supply voltage. The JTB can be controlled up to 260 MHz with a variation less than 20 MHz and the quadrature phase error is minimized to 1°.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.213
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2014
Admission routes1
Has abstractyes

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