A Compact Single-FPGA Fading-Channel Simulator
Bibliographic record
Abstract
This brief presents a novel computationally efficient design and implementation of a Rayleigh flat fading-channel simulator. To generate complex Gaussian variates with the required U-shaped power spectrum, the simulator utilizes an infinite-impulse response (IIR) spectrum shaping filter followed by multistage interpolators and low-pass IIR filters. The new simulator significantly simplifies the characterization of wireless systems by providing a fast and area-efficient field-programmable gate array (FPGA) implementation of the fading channel. Our fixed-point Rayleigh fading-channel simulator utilizes only 4% of the configurable slices, 20% of the dedicated multipliers, and 2% of the available memories on a Xilinx Virtex2P XC2VP100-6 FPGA, while generating 25 million fading variates per second. The parameterized fading-channel simulator can be readily reconfigured to accurately simulate a wide variety of different channel characteristics.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".