Low-power asynchronous viterbi decoder for wireless applications
Bibliographic record
Abstract
This paper describes the implementation of an asynchronous 64-state, 1/2-rate Viterbi decoder using an original architecture and design methodology. The decoder is intended for wireless communications applications, where bit rates over 100 Mb/s and minimum power consumption are sought. The choice of an asynchronous design was predicated by the power and speed advantages of such a methodology. Asynchronous designs are inherently data driven and are active only when doing useful work, enabling considerable savings in power and operating at the average speed of all components. The decoder, implemented in a 0.18 µm CMOS technology, occupies an area of 2 mm 2 and operates above 200 Mb/s while consuming 85 mW: a 55% power reduction when compared to state of the art synchronous design implemented in a 0.25 µm technology.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".