Bibliographic record
Abstract
In this paper we present a class of signals referred to as multi-mode asymmetric continuous phase chirp modulation (MA-CPCM). In these signals modulation parameters are time-varying and function of present and past data bits entering the modulator. The proposed class of signals offers additional degrees of freedom and flexibility to the designer. It is shown that constructions of MA-CPCM exit with superior distance properties compared to conventional CPCM. An addition of 1-bit memory in MA-CPCM results in a coding gain of nearly 2 dB relative to CPCM. The detection of MA-CPCM using multiple-symbol observation window is addressed and the optimum minimum-error-probability receiver is derived. It is shown that this optimum receiver offers nearly 1 dB gain over optimum CPCM receivers. MA-CPCM finds possible applications in cordless systems, wireless local area networks, air-to-ground communication via satellites, and, in general, in hostile EM environments
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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 | 0.001 |
| 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".