Bibliographic record
Abstract
This paper describes a type of distributed oscillator which combines the functions of distributed amplifiers (DAs), distributed transversal filters (DTFs), and distributed mixers (DMs). Nonlinear feedback of the kind used in mode-locked laser (MLL) systems is used in order to obtain phase locking between the resonant frequencies within the oscillator. The theory of operation is given and a tuning procedure for the tap weights of the distributed oscillator aimed at achieving a desired state of oscillation is presented. The impact that the nonideal components of the oscillator have on its performance is discussed. Through simulation it is shown that the effects of transmission line loss, uneven tap weight spacing and terminal impedance mismatch can be mitigated by properly adjusting the tap weights of the oscillator. Examples of waveform synthesis are given in which different periodic waveforms are produced by the oscillator including those found in an MLL and a waveform suitable for impulse based ultra-wideband systems.
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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".