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Delay-Locked Loop Based Multiphase Clock Generator for Time-Interleaved ADCs

2021· article· en· W4206328274 on OpenAlexaff
Ibrahim Alhousseiny, Mohamed R. Ali, Naim Ben‐Hamida, Bahareh Honarparvar, Mohamad Sawan, Yvon Savaria

Bibliographic record

Venue2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS) · 2021
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsCiena (Canada)Polytechnique Montréal
Fundersnot available
KeywordsClock generatorJitterNMOS logicPhase-locked loopCMOSElectronic engineeringPhase frequency detectorComputer scienceTime-to-digital converterPhase detectorDelay-locked loopGenerator (circuit theory)Clock signalDetectorVoltagePower (physics)Electrical engineeringCapacitorEngineeringCharge pumpPhysicsTelecommunicationsTransistor

Abstract

fetched live from OpenAlex

This paper proposes a delay-locked loop (DLL)-based multiphase clock generator implemented using a 65 nm CMOS technology. This generator produces 16 phases at 7 GHz. Each phase can drive a sample and hold circuit in a projected time-interleaved analog-to-digital converter (TI-ADC). This allows sampling an input signal at 112 GSamples/s. The proposed clock generator employs a voltage-controlled delay line (VCDL) exploiting pseudo NMOS inverters for high-speed operation. In addition, a fast phase frequency detector (PFD) is used for closed loop frequency adjustment. This PFD has a low power consumption and produces no output glitches. Simulation results produced from pre-layout circuit model show that the proposed generator exhibits 0.170 ps RMS jitter, while consuming 54 mW from a 1 V 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.

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)0.001
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.259
Teacher spread0.219 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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Same venue2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS)Same topicAnalog and Mixed-Signal Circuit DesignFrench-language works237,207