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Record W4308506738 · doi:10.32920/21518007

On the Theory and Design of Polynomial Division Circuits

2022· preprint· en· W4308506738 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

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicNumerical Methods and Algorithms
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputer scienceAliasingPolynomialCryptographyArithmetic functionDivision (mathematics)ArithmeticMixed-signal integrated circuitTheoretical computer scienceElectronic circuitAlgorithmMathematicsIntegrated circuitTelecommunicationsEngineeringDiscrete mathematicsElectrical engineering

Abstract

fetched live from OpenAlex

<p>We present a theory and design techniques for polynomial division circuits with the primary focus on testing of digital and mixed-signal devices. We estimate the aliasing rate for the proposed circuits (signature analyzers) and show how to improve it. Two types of design techniques are examined for mixed-signal circuit analyzers that are arithmetical by nature. The techniques are scalable and valid for an arbitrary size and base of the number system. The proposed devices have both low hardware complexity and aliasing rate. The design techniques and devices can also be used in general arithmetic/algebraic error-control coding, cryptography, digital broadcasting and communication.</p>

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.596
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
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 head0.047
GPT teacher head0.300
Teacher spread0.253 · 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

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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