A Frequency Domain Design Approach for the Generation of Arbitrary Transfer Function Based on Generalized Optical Transversal Filters
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".