A VLSI implementation of an adaptation algorithm for a pre-emphasis in a backplane transceiver
Bibliographic record
Abstract
Two different hardware structures of a sign-sign block least-mean-square (LMS) algorithm for an adaptive pre-emphasis in a backplane transceiver have been implemented in Verilog targeting the TSMC 0.18 /spl mu/m CMOS technology. Functional models and Matlab code have been developed to simulate a transceiver system for both structures. A pulse amplitude modulated four-level (4-PAM) signaling technique is used in the Matlab simulation. Results show that the proposed parallel adaptation engine is four times faster than the published round-robin adaptation engine in terms of coefficient update rate with comparable hardware. Both circuits prove that digital CMOSP18 standard cells can be used directly to achieve 625 MHz timing constraints. A custom circuit is not needed to implement the digital adaptation algorithm for the analog adaptive pre-emphasis up to 625 MHz.
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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 | 0.000 |
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 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".