Compensation of Memory-Effects in PDM-based Transmitters for Digital Audio Broadcast
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper examines existing amplitude modulation (AM) broadcast technology based on the envelope elimination and restoration (EER) amplification technique to determine its feasibility in accepting the new terrestrial digital audio broadcast (DAB) standards. When applying the hybrid AM DAB signals to EER amplifiers based on pulse duration modulation (PDM), digital signal processing algorithms are proposed to improve the overall performance of the system to meet the AM spectral mask. An investigation of the effects the various components of the EER amplifier have on the DAB signals is conducted to identify the most critical components in the system that contribute to the spectrum regrowth. It is found that the realistic envelope reconstruction filter in the envelope path of the EER amplifier requires specialized signal processing to extend the envelope path bandwidth. In particular, an LMS-based predistorter is proposed to improve filter frequency response and allow the DAB signalling to meet the required spectral mask
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it