Coding with dynamic rate control for low-delay image transmission over CDMA fading channels
Bibliographic record
Abstract
In the context of low-delay reliable image transmission over CDMA slowly Rayleigh fading channels, this paper addresses the proposal of a coding control technique that dynamically adapts the source coder rate to the channel condition, in order to transmit coded image data with low delay. In previous work, we proposed tools for error-resilient coding in order to improve the quality of transmitted images over the aforementioned channel. However, in case of degrading channel conditions, an increase in the transmission delay may result due to the use of an equal ARQ error control for all coded image data. Therefore, we propose to decrease the volume of coded data when the channel is in poor condition to decrease the amount of data to be transmitted with ARQ, and hence reduce the image transmission delay. The approach proposed to dynamically control the coder rate to the channel condition is based on an estimate of the channel status. The scheme proposed is shown to offer acceptable delay and high resistance to transmission errors.
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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 | 0.002 |
| 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 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".