RS-coded M-QAM transmission techniques for Wireless Communications
Bibliographic record
Abstract
Reed-Solomon (RS) codes are one important class of maximum distance separable (MDS) codes, and have been widely used for error control in many wireless and wireline communication systems.It is known that RS codes can correct more erasures than errors, and, thus, Error-and-Erasure Decoding (EED) has a potential to outperform Error-Only Decoding (ED).In order to mark the low reliability symbols as erasures, an erasure marking technique should be established.Previous works show that a threshold can be employed to mark symbols as erasures, and the selection of the threshold is critical to the performance of RS codes with EED.However, methods to determine suitable and optimal thresholds have not been investigated in those works.In this thesis, the use of RS codes in quadrature amplitude modulation (QAM) system over additive white Gaussian noise (AWGN), independent and identically distributed (i.i.d.) and correlated fading channels and their performance are First I would like to thank my supervisor, Dr. Tho Le-Ngoc for his utmost patient guidance and support throughout my graduate studies at McGill University.Dr.Le-Ngoc has provided me with a most
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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) | 0.001 | 0.001 |
| 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 | 0.002 | 0.001 |
| 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".