Joint Turbo Frequency Domain Equalization and Carrier Synchronization
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Bibliographic record
Abstract
In this paper we propose a synchronization method to compensate for the effect of frequency offset and phase noise generated by local oscillator instabilities for a Turbo Frequency Domain Equalizer (TFDE). TFDE is considered as an efficient equalization method which benefits from both good performance of iterative systems and reasonable complexity due to performing equalization in the frequency domain. We propose a joint turbo equalization and synchronization method in which the feedback information, generated iteratively by the decoder, is used for synchronization. As iterations continue, if the feedback information becomes more reliable, the performance of the synchronization method is continually improved. We propose two methods based on different criteria when the system suffers from only frequency offset. We also suggest a method based on Maximum A Posteriori (MAP) criterion in the presence of both frequency offset and phase noise which can be considered as a decision directed phase lock loop. These methods achieve considerable performance improvement with reasonable complexity.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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