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Record W2732840413 · doi:10.1142/9789813226203_0016

EXTENDED RESEARCH ON PREFILTER BANDWIDTH EFFECTS IN ASYNCHRONOUS SEQUENTIAL SYMBOL SYNCHRONIZERS BASED ON PULSE COMPARISON BY POSITIVE TRANSITIONS AT QUARTER BIT RATE

2017· article· en· W2732840413 on OpenAlexaboutno aff
A. D. Reis, J.R.F. da Rocha, Atílio Gameiro, J. A. R. Pacheco de Carvalho

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Time Synchronization Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsAsynchronous communicationBandwidth (computing)Computer scienceBit rateSymbol (formal)Quarter (Canadian coin)Electronic engineeringReal-time computingTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

This work studies the prefilter bandwidth effects in four asynchronous sequential symbol synchronizers. We choose three different bandwidths, namely B1=∞, B2=2.tx and B3=1.tx, where tx is the bit rate. First, we developed various synchronous prototypes. After, we developed various asynchronous prototypes. The synchronizer has two variants, which are the reference standard operating by both transitions at bit rate and the new proposal operating by positive transitions at quarter bit rate. Each variant has two versions, namely the manual and the automatic. The objective is to study the prefilter with the four synchronizers and to evaluate their output jitter UIRMS (Unit Interval Root Mean Square) versus input SNR (Signal Noise Ratio).

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)0.001
metaresearch head score (Gemma)0.005
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.324
Teacher spread0.298 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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