Fast Spectral Impedance Measurement Method Using a Structured Random Excitation
Bibliographic record
Abstract
The need for fast impedance measurement methods and instruments is necessary for accurate on-line characterization of many bio(electro)chemical systems in which most of the important processes occurs at low frequencies. However, the measurement by means of the traditional single-sine sweep signal is known to be a time consuming task particularly at ultra-low frequencies. In this work, we demonstrate the synthesis of a structured signal generated from a Gaussian white noise time series such that its power spectral magnitude is relatively flat over a wide bandwidth while maintaining a random phase. Such a signal allows the simultaneous measurement for multiple frequencies at once. When used to characterize a precision standard cell, the average deviation of the cell's spectral impedance from that measured using single-sine sweep on a research-grade BioLogic VSP-300 electrochemical station was about 1.03% over the frequency range 2 mHz to 200 kHz. Concurrently, the measurement time was reduced by a factor of 6.08 times compared to the reference instrument. The proposed methodology and processing can be readily adapted to other types of noises for fast impedance measurement.
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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".