FPGA architectures for real-time 2D/3D FIR/IIR plane wave filters
Bibliographic record
Abstract
Real-time plane wave (PW) filters find many applications in 2D/3D array signal processing. In this work, FPGA architectures are proposed for the real-time implementation of 2D/3D FIR and IIR PW filters. Fully parallel and time division multiplexed (TDM) FIR/IIR filter structures are described for the implementation of 2D/3D frequency planar and 2D fan filters on Xilinx FPGAs. Simulations demonstrate the usefulness of the FPGA technology for rapidly prototyping real-time VLSI/CMOS implementations of FIR and IIR 2D/3D PW filters. The proposed high-speed parallel 2D IIR filter structures promise temporal band-widths of up to 150 MHz using a 300 MHz FPGA chip and the proposed TDM filter structures may be used to implement 3D beam FPGA filters having a temporal sample rate of 180 KHz for a 40/spl times/40 rectangular sensor array.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".