A low-power 5 Mb/s turbo decoder for third-generation wireless terminals
Bibliographic record
Abstract
In this work, a rate-1/3 8-state log-MAP turbo decoder architecture for third-generation (3G) wireless high-speed data terminals is designed. The simplified log-MAP algorithm is used for the component soft-in soft-out (SISO) decoder. Several architectural and logic level techniques are applied through the design process to reduce area, power consumption, and increase throughput of the turbo decoder. The design is done in stages, each one applying different design techniques. The turbo decoder is written in VHDL, mapped and optimized into 0.18 /spl mu/m CMOS technology. The synthesized decoder has a core area of about 0.6 mm/sup 2/. It works at a maximum clock frequency of 100 MHz achieving data rates of up to 5 Mbit/s with 5 decoding iterations. The decoder consumes about 63 mW of power, hence, it has an energy efficiency of about 2.5 nJ/b/iteration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".