A fixed point variable sample rate frequency adaptive bandpass filter for extraction of synchronization information from AC utility network signals
Bibliographic record
Abstract
This paper presents design procedures for two adaptive bandpass filters with variable sample rates and fixed point implementations. Each bandpass filter can be used as an integral part of a multirate phase lock loop (MPLL) for extracting the fundamental component from an input signal. The MPLL provides synchronization information from zero crossings of power system AC signals. The MPLL incorporates frequency adaptation intrinsically by generating a sample signal which is an integer multiple of the fundamental frequency component. The integer multiple frequency is used as a sampling signal for all signal processing/filtering blocks within the MPLL. The bandpass filter ensures that the MPLL is robust against disturbances that appear on the power system. Finite impulse response (FIR) and infinite impulse response (IIR) architectures are studied for the design of bandpass filters. The FIR architecture offers unconditional stability and ease of implementation and hence is selected for the MPLL. The FIR filter is implemented on a Xilinx field programmable gate array
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".