Multi-band Wavelet-Based Spectrum Agile Communications for cognitive radio secondary user communication
Bibliographic record
Abstract
This paper proposes a novel technique for the opportunistic, secondary user, communication using wavelet domain processing to aid agile spectrum re-use. Deploying cognitive radio (CR) principles, the paper investigates the joint operation of direct sequence spread spectrum (DSSS) modulation and discrete wavelet packet transforms (DWPT) for signal shaping. Specifically, Wavelet-Based Spectrum Agile Communication (WBSAC) is introduced where the detection of the primary user spectrum is carried out in the DWPT domain, and the insertion of the secondary user signal into opportunistic spectrum locations is carried out using spreading sequences and DWPT signal shaping. Simulation results are presented for different primary user spectrum occupancies and secondary user performance metrics to document the impact of different parameters in the wavelet domain on the overall performance of WBSAC.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".