Gabor deconvolution: Attenuation function estimation based on frequency-dependent Q
Bibliographic record
Abstract
Gabor deconvolution has been applied in seismic imaging in order to compensate for non-stationary effects encountered during wave propagation (G. F. Margrave, et al., Geophysics, 76, 15–30, 2011). We previously applied this method to signals collected during microwave breast imaging (K. Y. Liu, et al., URSI GASS, 1–4, 2014) for the purpose of compensating for the frequency-dependent attenuation of wave propagation in lossy and dispersive tissues; and improving the signal resolution by removing the excitation pulse in the recorded signal. The aim of this study is to investigate a frequency-dependent Q model that is able to more accurately describe the wave attenuation than the existing constant Q approximation, in order to provide us with better estimation results.
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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 | 0.001 |
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".