Combined source and channel coding with JPEG2000 and rate-compatible low-density Parity-check codes
Bibliographic record
Abstract
Rate-compatible low-density parity-check (RC-LDPC) codes are used to provide unequal error protection for the robust and efficient transmission of JPEG2000 compressed images over noisy channels. The total bit budget is partitioned between the source and the channel coding by using a Viterbi algorithm (VA) applied to a search trellis, and appropriate channel code rates are assigned to the source blocks. The performance of the proposed scheme is evaluated on binary symmetric channels (BSCs). Experimental results indicate that the proposed scheme compares favorably with other combined source/channel coding schemes over a variety of channel conditions and transmission bit rates. In particular, the proposed scheme outperforms similar schemes based on turbo codes and irregular repeat-accumulate codes by up to about 1.1 and 1 dB in the expected peak signal-to-noise ratio (PSNR) of reconstructed images, respectively.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".