Low-power asynchronous Viterbi decoder for wireless applications
Bibliographic record
Abstract
Power dissipation is a critical parameter in digital design for the implementation of high performance portable, battery operated systems, such as wireless communications systems. Clocked or synchronous digital designs consume a significant amount of power associated with coordinating the operation of millions of transistors at GHz clock rates. Besides, the operating speed of such systems is limited by the slowest logic functional block. By contrast, asynchronous designs are active only when doing useful work, enabling considerable savings in power and operating at the average speed of all components. To illustrate the advantages of asynchronous logic design, a 64-state, 112-rate fully asynchronous Viterbi decoder, suitable for future generation wireless applications, was designed and implemented in a 0.18 mum CMOS technology, using a simple asynchronous design methodology that resembles synchronous design styles. The design was fully characterized and compared to a synchronously designed counterpart as well as to the state of the art Viterbi decoders. The implemented asynchronous Viterbi had a core area of 1.4 x 1.4 mm 2 and operated up to 213 Mbps while consuming 85 mW. This represents a 55% power saving when compared to previously reported state of the art designs.
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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 | 0.001 |
| 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) | 0.003 | 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".