Forward projection of transient sound pressure fields radiated by impacted plates using numerical Laplace transform
Bibliographic record
Abstract
Forward propagation of the transient sound pressure radiated by an impacted plate is presented. It is shown that direct and inverse time domain discrete Fourier transforms, involved in Fourier transform based near-field acoustical holography (NAH), lead to aliasing errors in the reconstructed time signals. Adding trailing zeros to the initial time signals is an inefficient way to reduce time aliasing errors. Hence, the numerical Laplace transform is introduced and a Fourier transform based transient NAH (TNAH) approach is formulated. An error measure is introduced to compare both NAH and TNAH with respect to the propagation distance and the location of the observation point in the projection plane. The percentage of error with TNAH is reduced by more than a factor of 10 without adding trailing zeros to the initial signals. Simulation results are validated experimentally using a free Plexiglas plate impacted at its center.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".