Optimal Transmission of High-frequency Voltage Signals under Remote Control
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The automatic transmission of high-frequency voltage signals under remote control is critical to the stable operation of the power system. To prevent corona discharge and partial discharge accidents, it is necessary to enhance the ability of the transmission lines to resist electromagnetic interference and line spectrum disturbance. Therefore, this paper proposes and improves an output channel model for the automatic transmission of high-frequency voltage signals under remote control. Drawing on adaptive spectrum feature extraction and equalization filtering, the proposed model combines non-stationary time series analysis, linear equalization and fractionally-spaced equalization to improve the balance of voltage signal transmission. The results of simulation experiment show that our method minimized the bit error rate (BER) of the communication system, achieved good channel equalization, ensured high fidelity of output symbols, and enhanced the resistance to multipath interference. The research findings shed new light on improving the quality of high-frequency voltage signals in transmission lines under remote control.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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