Adaptive joint source-channel coding and MAP decoding of error correction arithmetic codes
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Bibliographic record
Abstract
The adaptive joint source/channel coding methodologies was investigated,and a novel joint source/channel coding/decoding system was proposed based on error correction arithmetic codes.At encoding,this system can achieve an adaptive source/channel integrative coding by utilizing the arithmetic codes with a forbidden symbol.In particular,the Markov source model was used,and the probability of the forbidden symbol was adjusted adaptively according to the channel state information(CSI)so as to provide an adaptive source coding;and then at decoing,an improved sequential search algorithm based on new MAP decoding metric was proposed.Unlike the conventional channel adaptive coding algorithm,only one parameter(ie.a forbidden symbol)must be need to adjust,and a continuous coding rate could be achieved theoretically.Some experimental results show that the proposed system can achieve a higher performance gain,comparing with systems proposed by Grangetto and the separate coding system.
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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 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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