A new interpolation equalization scheme for discrete wavelet multitone modulation/demodulation systems
Why this work is in the frame
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Bibliographic record
Abstract
Discrete Wavelet Multitone (DWMT) Modulation provides an alternative to the conventional Discrete Multitone (DMT) Modulation in various Digital Subscriber Line (xDSL) applications. The DWMT systems permit a high level of spectral containment and exhibit high robustness to narrowband noise and variations in channel frequency response characteristics. In this paper, an effective equalization scheme is presented for DWMT systems. Hitherto equalization schemes are based on pre- or post-detection equalization, optimization of the filterbank at the receiver, or combined optimization of filterbanks at the transmitter and receiver ends. In this paper, by taking into account the dominant effects of the non-integer channel delay, the pre- and post-detection equalization techniques are combined to obtain a novel interpolation equalization scheme. Simulation results show that the proposed technique results in a relative high Signal-to-Interference Ratio (SIR) and low computation complexity with one-tap interpolation equalization, leading to a high SIR close to the ideal channel case with multi-tap interpolation equalization.
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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