Performance Analysis of a Flexible, Optimized and Fully Configurable FPGA Architecture for Two-Channel Filter Banks
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a fully configurable FPGA architecture for two-channel filter banks which enables rapid quantization error and hardware performance analysis. Lattice designs that eliminate the effects of quantization error do not necessarily exhibit linear phase and may result in excessive delay. This can make them ill-suited for applications such as digital audio. Thus, the effects of quantization on an optimized direct form FIR based filter bank are analyzed. This is accomplished by using a high-level, configurable architecture and parameter driven synthesis for varying coefficient and channel quantization, and filter types. Overall, the presented design targets high-speed optimization through a fully pipelined architecture that reduces complexity by uniquely multiplexing coefficients. This flexible architecture and its supporting tools have enabled rapid filter bank prototyping and analysis of the effects of quantization on performance that drastically reduces design time and cost for realization.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it