Bibliographic record
Abstract
This paper presents a patented type-based group- delay equalization technique to compensate for in-band group- delay distortion typically existing in analog/RF filter circuits. The underlining principle is that for a given modulation scheme and pulse-shaping function, the modulated signal has a unique statistical distribution, and that when the modulated signal passes through a circuit, any in-band group-delay distortion in the circuit distorts its output statistical distribution. The technique employs an equalization filter to minimize the in-band group-delay distortion, with the filter coefficients derived from a measure of the distortion in the output statistical distribution using a weighted nonlinear least square algorithm. It requires simple analog and digital hardware and firmware to implement, and its implementation is inherently adaptive, capable of tracking and compensating for any variation in the group-delay distortion characteristic due to component aging and temperature variation. Computer simulations have been performed to show that an accurate equalization filter can be obtained to effectively compensate for the group-delay distortion, achieving significant performance improvements.
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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".