Decision Aided detection and performance of Continuous Phase Chirp Keying
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A Decision Aided Receiver (DAR) for coherent detection of Continuous Phase Chirp Keying (CPCK) in Additive White Gaussian Noise (AWGN) is presented. The structure of DAR is generic and applies to arbitrary Continuous Phase Modulation (CPM). The receiver complexity is a linear function of number of observed symbol intervals and uses repeated processing of received waveform at the receiver. Performance analysis of DAR is presented and easy-to-compute closed-form analytical expressions for Bit Error Rate (BER) have been obtained for CPCK. The DAR is attractive by virtue of its superior error performance and low-complexity relative to the Average Matched Filter (AMF) receiver for CPCK, especially for a wide range of CPCK modulation parameters and decision observation lengths. For example, it is shown that 2-bit DAR can outperform 2-bit AMF receiver for CPCK with modulation parameters (q, w) = (0.98, 4.15).
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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 | 0.000 |
| 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 | 0.000 | 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 it