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Record W2794677105 · doi:10.1049/iet-cds.2017.0327

Design techniques of all‐digital arithmetic units for time‐mode signal processing

2018· article· en· W2794677105 on OpenAlexaff
Fei Yuan

Bibliographic record

VenueIET Circuits Devices & Systems · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAdderArithmeticIntegratorComputer scienceSignal processingDigital signal processingElectronic engineeringComputer hardwareMathematicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This study provides a comprehensive treatment of the design techniques of all‐digital arithmetic units for time‐mode signal processing. The arithmetic units investigated include time polarity detectors, time absolute‐value generators, time adders, time baluns, time amplifiers, time quantisers, time registers, and time integrators. The principle, circuit implementation, constraints and limitations of these units are investigated in detail. An emphasis is given to time adders and time integrators. An in‐depth study of time adders constructed from switched delay units, dual discharge paths, and unidirectional gated delay lines is provided. It is followed with the presentation of three time registered evolved from these time adders. Three time integrators developed from the preceding time adders and time registers are studied and their characteristics are compared. Finally, the design of a first‐order time‐to‐digital converter utilising these arithmetic units is presented.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.271
Teacher spread0.236 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations5
Published2018
Admission routes1
Has abstractyes

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Same venueIET Circuits Devices & SystemsSame topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207