Raster-scanned wave-digital filter architectures for multi-beam 2D IIR broadband beamforming
Bibliographic record
Abstract
Two-dimensional (2D) beam filters find applications in highly-selective directional enhancement of spatio-temporal (ST) plane-waves (PWs). A 2D raster-scanned (RS) wave-digital filter (WDF) hardware architecture, using a uniform linear array (ULA) of sensors, based on a 2D LR-ladder prototype network is proposed for obtaining M independently-steerable broadband beams having adjustable selectivity. FPGA-based prototypes for 2,3 beams supporting upto 32 broadband sensors are as well as measured results, FPGA resource consumptions, and maximum speeds at various fixed-point precisions, are provided. On-chip verification of the M-beam 2D IIR beam WDF architecture leads to multi-beamforming in applications such as directional audio, multimedia, seismic, and ultrasonic signal processing.
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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 | 0.000 |
| 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) | 0.004 | 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".