Error rate of S + N selection combining M-ary NCFSK in Nakagami fading
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Bibliographic record
Abstract
The performance of M-ary orthogonal noncoherent frequency-shift keying (NCFSK) with N branch signal-plus-noise (S + N) selection combining (SC) in Nakagami-m fading is studied. Both independent, identically distributed and independent, nonidentically distributed diversity branches are considered. Two S + N SC receiver structures are studied and their performances are analyzed. Tractable expressions are derived for the symbol error rate performance of these receiver structures in Nakagami-m fading with integer values of m. The performances of the S + N SC combiners are compared to those of classical SC and square-law combining (SLC). The effects of the modulation order, the fading parameter, the average decay factor and the number of diversity branches on the performance of S + N SC are examined and compared to the cases of classical SC and SLC. Monte Carlo simulation results are presented to test the validity of our analytical expressions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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