An analog multi-user spread spectrum technique for wireless home automation
Bibliographic record
Abstract
The emerging research interests in home network and other wireless consumer electronic products have led to an increased demand for an effective and low cost approach for multi-user communications. We propose a novel multi-user spread spectrum (SS) communication system based on chaos theory for multimedia transmission in a wireless home network environment. Using the ergodic property of chaos, the proposed chaotic SS system is shown to be able to modulate and transmit the multimedia signal effectively for point-to-point communication. In order to cater for home network service and other applications, our method is further extended for multi-user communication based on time division multiple access, while all users can share the whole frequency spectrum, different time slots are allocated to different users for transmission. Monte Carlo simulations are carried out to evaluate the effectiveness of the multi-user analog chaotic SS system. Compared with the conventional CDMA system, it is shown that the proposed system has improved and satisfactory performance in transmitting analog multimedia signals even when the channel measurement noise is strong. In addition, since the proposed system is with very low cost hardware implementation, it is quite suitable for home network and other consumer electronic products.
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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 | 0.000 |
| 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) | 0.002 | 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".