Efficient filter bank design for filtered multitone modulation
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Bibliographic record
Abstract
Filtered multitone (FMT) modulation is a filter bank based modulation scheme that is a candidate for the next generation of digital subscriber line (DSL) technology. The high level of spectral containment provided by FMT schemes offers the potential for larger achievable bit rates than more conventional discrete multitone (DMT) schemes in typical DSL environments. In this paper we provide an effective design method for the prototype filter in the FMT filter bank. Our method allows efficient evaluation of the inherent trade-off between the subchannel spectral containment provided by the prototype filter and the intersymbol interference that the filter generates. An appropriate operating point on this trade-off curve is then identified by computing the achievable bit rate for FMT systems with prototype filters which lie on the curve. Our numerical results indicate that careful exploration of the filter design trade-off results in a significant gain in the achievable bit rate.
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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 | 0.000 | 0.000 |
| 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