Bibliographic record
Abstract
Smart antennas have been successfully implemented in CDMA cellular communication systems in order to increase the system capacity and improve its performance. However, it has been shown by Hefnawi and Delisle (see IEEE International Conference on Personal Wireless Communications, p.5-8, December 2000) that the use of wideband CDMA signals results in a significant deterioration of the narrowband system performance. The use of adaptive array to reject wideband interferences and track wideband signals have been proven to be more efficient if frequency compensation is used. This paper presents an extension of the interpolated constant modulus algorithm (ICMA) introduced by Hefnawi and Delisle (see IEEE Antennas and Propagation Society International Symposium, vol.3, p.1588-1591, July 1999) to wideband CDMA signals (WCDMA). Simulation results show that the ICMA yields significantly better performance as compared to the conventional narrow-band adaptive algorithm.
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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 | 0.002 | 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".