Optical Impulse Modulation for Diffuse Indoor Wireless Optical Channels
Bibliographic record
Abstract
Power efficient signaling over indoor diffuse wireless optical channels is considered. Present-day laser diodes have pulse rates many times higher than the bandwidth of multipath distorted diffuse channels. Despite the fact that the transmitter extra degrees of freedom are not supported by the low-pass channel, they can be used to satisfy the channel non-negativity constraint. In this paper, we define optical impulse modulation (OIM) in which data are confined to the low-pass region while the high-pass region, which is distorted by the channel, is used to satisfy the channel amplitude constraints. A mathematical framework for OIM is presented, and an optimal receiver filter is designed. At a normalized delay spread of 0.2, the gain in average optical power of using decision feedback equalization (DFE) with rectangular pulse-amplitude modulation (PAM) is 4.8 dBo, while that of using the less complex unequalized OIM receiver is shown to be 4.9 dBo.
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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) | 0.000 | 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".