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Record W4413468426 · doi:10.1002/sdtp.18209

39‐2: <i>Invited Paper:</i> Sampled Analog Driving of High Frame‐Rate UHD Displays

2025· article· en· W4413468426 on OpenAlexaff
Alex Henzen, Todd Rockoff, Rob Hannebauer

Bibliographic record

VenueSID Symposium Digest of Technical Papers · 2025
Typearticle
Languageen
FieldComputer Science
TopicImage and Video Quality Assessment
Canadian institutionsLumerical Solutions (Canada)
Fundersnot available
KeywordsPayload (computing)Computer scienceFrame (networking)Equalization (audio)Frame rateComputer hardwareEnhanced Data Rates for GSM EvolutionPower (physics)Analog televisionFlat panel displayAnalog front-endElectrical engineeringComputer graphics (images)TelecommunicationsEngineeringComputer visionChannel (broadcasting)Computer networkDigital televisionPhysics

Abstract

fetched live from OpenAlex

For current high‐end displays, conventional data transports require parallel data‐pairs plus equalization circuits to deliver the required video data to the edge of the display panel. These accommodations increase cost, power, and complexity. HYPHY's revolutionary ‘Sampled Analog' video transport is the solution to this impasse, demonstrably delivering 10X more video payload per “wire‐Hertz” than conventional methods, meaning more image data can be transferred to the panel while decreasing the cost and power of display driving hardware.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.266
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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