Design and development of a terrestrial digital video broadcast demodulation core: An international collaborative effort
Bibliographic record
Abstract
The terrestrial digital video broadcast (DVB-T) system, specified in the ETSI 300–744 standard, is currently the most popular digital television system with more than 120 million receivers deployed globally in integrated television sets, set-top boxes, in-car modules, universal serial bus (USB) sticks, and personal computer (PC) cards. A provider of multimedia application specific integrated circuits (ASICs) in Asia required a DVB-T demodulation core as part of its strategy to broaden its stake in this growing market. To meet this challenge, Bell Labs partnered with Cambridge Industries Group, China, to form an international team to design and implement the underlying multimode orthogonal frequency division multiplexing (OFDM)–based receiver. This paper presents insight into the essential elements of the system design, the design methodology, and project management and describes the underlying signal processing algorithms, the bit accurate model, and register transfer level code. It is demonstrated how close collaboration between Bell Labs and selected global partners can yield added value to Alcatel-Lucent. © 2007 Alcatel-Lucent.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".