Design of M-band complex-valued filter banks for multicarrier transmission over multipath wireless channels
Bibliographic record
Abstract
The orthogonal M-band complex-valued filter banks have more flexibility in terms of frequency response. In this paper, a new general design method for orthogonal M-band complex-valued filter banks is presented for multicarrier (MC) transmission to reduce intersymbol and interchannel interference (ISI and ICI). The design includes three procedures. First, a parameterization method is used to design the baseband scaling filter. Then the M-1 band wavelet filters are deduced based on the scaling filter by a Gram-Schmidt algorithm. Thirdly, a numerical optimization method is developed to determine the free parameters and coefficients of the filter banks based on an objective to minimize the intersymbol and interchannel interference power for a multipath wireless channel. Simulation results demonstrate that the MC system based on the designed M-band complex-valued filter banks has superior performance to that of discrete Fourier transform (DFT) based orthogonal frequency division multiplexing (OFDM) and discrete wavelet multitone (DWMT) in terms of the interference power over a multipath channel.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".