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Record W4220893703 · doi:10.1109/tcsii.2022.3161650

A Reconfigurable 5-Channel Ring-Oscillator-Based TDC for Direct Time-of-Flight 3D Imaging

2022· article· en· W4220893703 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.

Bibliographic record

VenueIEEE Transactions on Circuits & Systems II Express Briefs · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRing oscillatorTime-to-digital converterChannel (broadcasting)CMOSDetectorPower (physics)Frame rateConvertersTime of flightDynamic rangeMaterials scienceComputer scienceElectronic engineeringOptoelectronicsElectrical engineeringPhysicsElectronic circuitOpticsTelecommunicationsEngineeringClock signal

Abstract

fetched live from OpenAlex

Time-correlated single-photon counting (TCSPC) 3D imaging requires the digitization of photon arrival times across an array of single-photon avalanche diodes (SPADs). The most critical performance metrics of time-to-digital converters (TDC) in TCSPC applications are their conversion rate (CR), area, and power consumption. This paper presents a multi-channel RObased TDC architecture whose power consumption scales with its configurable resolution for power-sensitive applications. Further power savings are achieved by sharing one RO among multiple TDC channels. We have demonstrated that sharing one RO among five channels reduces the power consumption by more than 75 relative to non-shared architectures. Here, a 5-channel 12-bit TDC is fabricated in 65 nm CMOS with an area of 1920 um2 per channel. It demonstrates CR up to 125 MHz and offers a resolution configurable over the range of 24-133 ps. At a CR of 125 MHz, the TDC power consumption per channel is 0.1 mW and 1 mW per channel at 133 ps and 24 ps resolution, respectively.

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)
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 score0.984
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.231
Teacher spread0.217 · 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