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Record W1918818101 · doi:10.1109/ccece.1995.526611

A numerical study of a triple product optical processor

2002· article· en· W1918818101 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
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOptical and Acousto-Optic Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEnvelope (radar)Computer scienceRadarPulse repetition frequencySIGNAL (programming language)Modulation (music)Electronic engineeringFourier transformPulse compressionDigital signal processorSignal processingOpticsAcousticsDigital signal processingTelecommunicationsPhysicsComputer hardwareEngineering

Abstract

fetched live from OpenAlex

An analytical and numerical study of the triple product acousto-optic processor output was performed. The processor is capable of detecting the carrier frequency and modulation envelope of both coherent and incoherent signals. This triple product acousto-optic based optical processor could ultimately be used to determine the carrier and pulse repetition (PRF) frequencies of radar signals. The processor utilizes the time and space integrating capabilities of acousto-optic cells to determine the desired frequencies. The advantage of the processor in question compared to the existing ones is its ability to determine the PRF of incoherent radar signals. This is accomplished by performing a Fourier transform of the envelope signal alone, rather than of the composite signal consisting of the carrier and envelope signals. At the same time the processor can perform the operation on a number of radar signals of different carrier frequencies simultaneously.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.240
Teacher spread0.222 · 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
Published2002
Admission routes1
Has abstractyes

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