A Novel Chaos-Based Transceiver Solution with High Data Rate Capability
Bibliographic record
Abstract
In recent years, chaos-based spread spectrum systems have earned popularity due to the inherent properties of chaos signals; the primary aim of ongoing research being to develop low cost/power solutions with acceptable performance. Although systems proposed to date provide inexpensive solutions, most of the practical implementations fail to support high data-rates. The baseband chaos-based systems implemented to date have offered data-rates in the order of kbps (maximum data-rate -224 kbps). This paper presents a novel design of a chaos-based transceiver architecture with high data-rate capability based on ergodic theory of chaos. The proposed design, coded in VHDL and simulated with Quartus-II is synthesized using Altera Stratix FPGA. Post-synthesis simulation shows that the designed transceiver can be clocked at a maximum frequency of 180.12 MHz, thus, supporting data rates of about 15.01 Mbps. Power consumption of complete transceiver is about 1.284 W, with a power efficiency of 7.704 mW/MS/s.
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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) | 0.001 | 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".