Concurrent dual band digital predistortion using look up tables with variable depths
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Bibliographic record
Abstract
A concurrent dual band predistorter implementation using look up tables is presented in this paper. The power amplifier introduces the main source of nonlinearity in a transmitter chain; and the distortion is further enhanced when sending signals in multiple carrier frequencies. Using a dual band predistorter based on a memory polynomial model allows for the compensation of these nonlinearities by taking into account both signals. Converting the coefficients to look up tables reduces the number of arithmetic operations needed in a signal processor. Results are presented with the conventional dual band predistorter and the look up table predistorter in operating bands 880 MHz and 2140 MHz, showing the linearization capability and accuracy with the proposed implementation agrees with the conventional predistorter.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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