Photonic Generation of Ultra‐Wideband Signals
Bibliographic record
Abstract
Ultra-wideband (UWB) has been considered a solution for short-range high-throughput wireless communications and sensor networks thanks to their intrinsic properties, such as the immunity to multipath fading, extremely short time duration, carrier-free, low duty cycle, wide bandwidth, and low power consumption. This chapter discusses techniques to generate UWB pulses in the optical domain. These techniques are classified into three categories: UWB pulse generation based on phase-modulation to intensity-modulation (PM-IM) conversion. The PM-IM conversion can be implemented in the optical domain by using either a dispersive device or an optical frequency discriminator. UWB pulse generation using a photonic microwave delay-line filter. A photonic microwave delay-line filter with incoherent detection can usually have positive coefficients only. The chapter discusses two methods to generate a negative coefficient. First, a negative coefficient is generated based on XGM in an SOA. In the second method, a PolM is used.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".