Application of time lenses for high speed fiber-optic communication systems
Bibliographic record
Abstract
The Fourier transforming properties of time lenses are reviewed and two applications of times lenses in high speed fiber-optic communication systems are presented. A mid-point time reversal system based on time lenses can undo the deleterious effects of third order dispersion. Numerical simulation of a fiber optic system employing mid-point time reversal is carried out and results show the benefit of mid-point time reversal. Also, a technique to generate OFDM symbol optically using time lenses is provided. A comparison between the optical OFDM and electrical OFDM transmission system is made and results showed that the nonlinearity introduced by Mach-Zehnder modulator (MZM) could lead to performance degradation in electrical OFDM systems whereas MZM does not pose a problem for optical OFDM using time lenses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".