Filter Optimization for MFTN-OQAM Systems
Bibliographic record
Abstract
In this paper, a novel and effective method for designing the pulse shaping filter for multicarrier faster-than-Nyquist with offset quadrature amplitude modulation (MFTN-OQAM) systems is proposed. The connection between the signal-to-interference ratio (SIR) and the filter coefficients is first established. Then, for a desired overall compression level taking into account compressions in both frequency and time domains, a simple convergence search is suggested to jointly find the optimal values of time and frequency compression factors as well as the filter coefficients to maximize the SIR under a spectrum localization constraint. The obtained results show that higher SIRs, and consequently better bit error rates, can be achieved by the proposed filters over the Martin filter that is commonly used in the filter-bank multicarrier OQAM (FBMC-OQAM) systems (i.e., without time or frequency compression). Moreover, when applying our method to FBMC-OQAM systems, the obtained results show that the original Martin filter is suboptimal as shorter filters are found having the same SIR, which translates to lower implementation cost and latency.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".