Error analysis of FIR filters implemented with 1-digit 2-dimensional logarithmic number systems
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Bibliographic record
Abstract
Multi-dimensional logarithmic number system (MDLNS) is a recently developed number representation that is very efficient for implementing the inner product step processor (IPSP). The effects of data mapping and conversion in finite-impulse response (FIR) digital filters implemented with 1 digit 2-dimensional logarithmic number (2-DLNS) are examined. Expressions for the ratio of output variance with errors to output variance without errors are derived. The simulation results indicate that the experimental results are in good agreement with the theoretical results. It is shown that the FIR filters implemented using 2-DLNS result in lower error-to-signal variance than that implemented using LNS and FPNS as well as potential hardware reduction of the entire filter
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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 | 0.001 |
| 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 it