New Study of DTV Transmitter-Identification Sequence Capacity
Why this work is in the frame
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Bibliographic record
Abstract
Digital Terrestrial Television (DTV) has been widely deployed world-wide in recent years. The transmitter identification (Tx-ID) technique specified in modern DTV standards becomes crucial nowadays as the number of DTV transmitters grows with the expanded coverage area. In the ATSC standards, Kasami sequences, an important family of pseudo random sequences, are adopted as the practical Tx-ID sequences since Kasami sequences posess the favorable properties of nearly impulse autocorrelation/cross-correlation functions and large sequence capacities. In this work, we would like to extend the existing study to address the corresponding Tx-ID reception quality in terms of received signal-to-interference ratio (RSIR) to various channel factors such as propagation fading and propagation decay rate along with Kasami correlational properties. Such in-depth RSIR study can help us to determine the capacity (the number) of effective Tx-ID sequences which can be utilized subject to a given transmitter-deployment topology, a given fading channel, and a given Tx-ID sequence-length. Extensive numerical experiments are also presented to illustrate the relationship between the capacity of Tx-ID sequences and aforementioned pertinent factors.
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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 it