High-frequency systolic broadband beamforming using polyphase 3D IIR frequency-planar digital filters with interleaved A/D sampling
Bibliographic record
Abstract
A massively-parallel polyphase systolic array processor is proposed for broadband beamforming using a 3D IIR space-time digital frequency-planar filter that is capable of operating at a throughput of M 2D spatial frames every clock cycle, where M is the number of (poly)phases. The method achieves an M-fold increase in throughput relative to previously known architectures, and has the potential to achieve highly-selective broadband radio-frequency (RF) digital beamforming at frame rates that are several times greater than the clock rate of the VLSI system. The practical real-time performance of the processor is demonstrated using a 3×3 section of a systolic array (that is part of a larger systolic N1× N2≈100 × 100 system), consisting of a locally-interconnected matrix of 9 identical fully-pipelined speed-optimized two phase (M=2) parallel processors on a Xilinx Sx35 FPGA device, having a corresponding measured spatial frame-rate of 100 million frames/second, when clocked at 50 MHz.
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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) | 0.001 | 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) | 0.001 | 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".