Double chip waveforms for asynchronous DS-CDMA systems with random signature sequences
Bibliographic record
Abstract
In an asynchronous DS-CDMA system using random signature sequences and correlation receivers, the signal-to-interference-plus-noise ratio (SINR) at the output of each correlation receiver depends on the shape of the chip waveform employed. The use of double chip waveforms instead of a single chip waveform is investigated, in order to increase the SINR performance. An analytical expression for the SINR when double chip waveforms are used is obtained. To evaluate the performance of the proposed technique, an extension to Holtzman's approximation of the error probability for the case of double chip waveforms and signalling over an additive white Gausian noise channel is derived. Numerous numerical examples are given to demonstrate the advantage of using double chip waveforms over the single chip waveform. Moreover, the advantage of using double chip waveforms for improving the SINR performance over a multipath Rayleigh fading channel is also demonstrated.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".