Interactive constrained min-max optimization of multi-rate digital filters over the canonical signed-digit coefficient space
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Bibliographic record
Abstract
This paper presents an overview of the development of a graphical software environment called Papillon DSP OptiStation for the design and constrained min-max optimization of multi-rate FIR and IIR digital filters. The optimization engine is required to handle simultaneously multiple objective functions and multiple arbitrary equality and inequality constraints. Moreover, it is required to handle not only infinite-precision optimization, but also finite-precision optimization over the canonical signed-digit transfer function coefficient space. In addition, it is required to have guaranteed convergence, i.e. it is required to find a solution if one exists. The Papillon DSP OptiStation environment is based on a multi-threaded multi-process architecture facilitating co-operative online interaction between the user on the one hand and the optimizer on the other, through a Tcl/Tk graphical user interface. It is required that the user be able to change, interactively, any time-domain and/or frequency domain design specifications throughout the course of the optimization.
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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