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Record W2010613546 · doi:10.1109/jlt.2012.2226703

A Frequency Domain Design Approach for the Generation of Arbitrary Transfer Function Based on Generalized Optical Transversal Filters

2012· article· en· W2010613546 on OpenAlexaff
Ali Salehiomran, Martin Rochette

Bibliographic record

VenueJournal of Lightwave Technology · 2012
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcGill University
Fundersnot available
KeywordsTransfer functionWaveguideOptical filterDifferentiatorRealization (probability)OpticsOptical transfer functionTransversal (combinatorics)PhysicsFilter (signal processing)Function (biology)MathematicsMathematical analysisComputer scienceEngineering

Abstract

fetched live from OpenAlex

We present a technique to realize arbitrary optical transfer functions based on the use of delay lines and optical waveguide couplers. In particular, this technique is a modification of an optical transversal filter. Following this technique, the transfer function is expressed as a truncated Fourier series with the tap coefficients that are either purely real or purely imaginary. The output ports of an optical waveguide coupler, conveniently and precisely, provide a transmission function that is either purely real or purely imaginary and thus, fit perfectly for the experimental realization of such transfer functions. The use of simple components, such as couplers and delay lines, alleviates the need for bulky electro-optic phase shifters and reduces the complexity of the integration process. To exemplify this approach, an optical field differentiator is implemented. Moreover, the effect of the practical aspects such as frequency dependence of the refractive index and variations of the coupling ratios of optical waveguide couplers, on the resulting transfer function are analytically investigated.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.761
Threshold uncertainty score0.354

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)0.0000.000

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 head0.032
GPT teacher head0.224
Teacher spread0.192 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2012
Admission routes1
Has abstractyes

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