High-Speed Architecture for Successive Cancellation Decoder With Split-g Node Block
Why this work is in the frame
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Bibliographic record
Abstract
Polar codes are one of the recently developed error correcting codes, and they are popular due to their capacity achieving nature. The architecture of the successive cancellation (SC) decoder algorithm is composed of a recursive processing element (PE). The PE comprises various blocks that include signed adder, subtractor, comparator, multiplexers, and few logic gates. Therefore, the latency of the PE is a primary concern. Hence, a high-speed architecture for implementing the SC decoding algorithm for polar codes is proposed. In the proposed work, a novel restructuring of the 2bit-SC (2b-SC) precomputation decoder architecture is carried out to reduce the latency by 20% while reducing the hardware complexity. Compared to the 2b-SC precomputation decoder, the proposed architecture also has 19% increased throughput for (1024, 512) polar codes with 45% reduction in the gate count.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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