Receiver design for wireless optical MIMO channels with magnification
Why this work is in the frame
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Bibliographic record
Abstract
In this work, receiver design for wireless optical MIMO channels with magnification is considered. The work done in this paper constitute a step towards the practical implementation of such links, since it is the first time the effects of spatial transformations are considered. Signal magnification introduces varying spatial frequency inter-channel interference (SF-ICI) at the receiver. A novel receiver design that uses complex windowing with decision feedback equalization is used to equalize the SF-ICI in spatial frequency domain. For SF-ICI limited channels, the novel receiver design achieved a low bit-error rate (BER) compared with rectangular windowing with bin-by-bin detection. However, for noise limited channels, rectangular windowing with bin-by-bin detections is the receiver design of choice.
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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 | 0.002 | 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 it