Raptor-Like Rate Compatible LDPC Codes and Their Puncturing Performance for the Cloud Transmission System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper proposes a class of raptor-like rate compatible low-density parity check (LDPC) codes for the cloud transmission (CTxN) system. The proposed LDPC codes have lengths of 16,200 and 64,800 which are the same as those of DVB T2/S2 LDPC codes so that the CTxn system can easily be combined with the DVB-T2/S2 system for a second layer service. As the proposed LDPC codes are optimized at low coding rate range (R <;1/2), their performance is not only close to the Shannon limit, but also better than the DVB-T2/S2 LDPC codes. Moreover, the proposed LDPC codes have raptor code's property so that they can be decoded with a punctured codeword at the receiver for power saving and less latency under high signal-to-noise ratio regions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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