Multiple-channel optimized quantizers for Rayleigh fading channels
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Bibliographic record
Abstract
We consider multiple description communication over Rayleigh fading channels with binary phase-shift keying (BPSK) modulators at the transmitter and soft-decision detectors at the receiver. The multiple-channel optimized quantizer design (MCOQD) method, introduced in Y. Zhou et al., (2004) for multiple discrete memoryless channels, is extended to multiple Rayleigh fading channels. The decision thresholds of the soft-decision detectors are optimized to achieve minimum end-to-end distortion. Simulation results show that MCOQD provides more robust quantizers than multiple description scalar quantizers V. Vaishampayan (1993) over Rayleigh fading channels, when both the encoder and decoder are matched to channel statistics and when only the decoder is matched to channel statistics.
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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 | 0.001 |
| 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 it