Surface acoustic wave convolvers for spread-spectrum mobile and wireless communications
Bibliographic record
Abstract
This paper reviews three surface acoustic wave (SAW) convolver types for use in real-time spread-spectrum code-division multiple access (CDMA) mobile and wireless communications in noisy electromagnetic environments. Operational tradeoffs include convolution efficiency /spl eta//sub c/, operational frequency, and code-length capability. The first involves Rayleigh-wave propagation on single-crystal SAW piezoelectrics for IF signal processing with /spl eta//sub c//spl sim/-50 to -70 dBm/sup -1/, while the second is based on Sezawa wave processing in thin-film layered SAW structures, with /spl eta//sub c//spl sim/-40 dBm/sup -1/. Both can employ internal SAW-based synchronous/asynchronous correlation of lengthy pseudo-noise (PN) chip codes with direct sequence (DS) and frequency hopping (FH), suitable for low-power indoor and outdoor communications. One potential disadvantage of these two is in the frequency doubling of the convolved output. The third SAW-based design, that avoids frequency doubling, employs external mixing of signal and reference codes. While it has currently been applied to short-code modulation/demodulation (e.g. Barker codes), it offers higher conversion efficiency-in competition with both digital and analog signal processing using non-SAW techniques.
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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".