P2B-7 Development of a Versatile Signal Processing Board for Real-Time 3D Beamforming
Bibliographic record
Abstract
In this paper, we describe the design and performance of a high-speed, signal processing board designed for real-time 3D ultrasound beamforming. The system can generate 100M beamformed voxels per second from the data received from a 288 element array. Our primary scan volume produces an 80x80x246 volume image updated at a rate of 24 volumes per second, with 4 depth transmit focal zones. Preliminary beamforming tests have shown good agreement with modeled simulations. The average amplitude of the pedestal secondary lobe in the radiation pattern was about -72 dB for a point target at f/2. Average single channel noise levels were measured at 400 nV/rtHz at high gain (+43 dB). This corresponds to a single channel signal to noise ratio of 54 dB for a 13.2 MHz bandwidth and results in a system dynamic range of 96 dB. The channel-to-channel isolation was approximately 46 dB.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
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".