A family of low-complexity binary linear codes for bluetooth and BLAST signaling applications
Bibliographic record
Abstract
We construct a family of linear binary block codes that are useful for Bluetooth, OFDM and BLAST applications. These codes are derived from ordinary block repetition codes using cyclic shifts of the input information vector which greatly simplifies encoding. We find several sets of cyclic shifts that constrain the search for good codes. We consider code lengthening and the input-output weight enumerators. We show that the codes are good candidates for low-power, low-cost and high data-rate applications using fixed code rate and variable codeword length, or adaptive coding with variable minimum Hamming distance. We propose a parallel structure of the encoder well-suited to OFDM and BLAST systems. Finally, we give an example of code design for use in retransmission schemes, and another example of a concatenated rate 2/3 code well-suited to the Bluetooth system.
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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 | 0.000 |
| Open science | 0.002 | 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".