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Record W1579790087 · doi:10.1109/acssc.1995.540850

Real-time 3-dimensional recursive digital filter for video signals

2002· article· en· W1579790087 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDigital Filter Design and Implementation
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNTSCComputer scienceFilter (signal processing)Adaptive filterInterconnectivityDigital filterFilter designComputer hardwareReal-time computingPath (computing)PixelComputer visionAlgorithmArtificial intelligenceHigh-definition television

Abstract

fetched live from OpenAlex

The design and implementation of a real-time 3D digital filter for video signals is described. The filter implements a completely general 3D, first-order, recursive, discrete-time transfer function at NTSC video-rates (480/spl times/512 pixels, 30 f/s). A fully-parallel systolic structure is chosen based on its short critical path, regularity, local interconnectivity, internal overflow immunity, minimized memory requirements and expandability. The implementation is carried out with discrete logic on PCBs and consists of 634 ICs distributed over 12 modules. A comprehensive workstation-based GUI, which includes a 3D filter-design facility, directly communicates with the filter to control its numerous parameters. The hardware can be further expanded to implement higher orders and 3D real-time adaptive filter algorithms. To our knowledge, this is the first such filter to be reported in the literature.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.037
GPT teacher head0.260
Teacher spread0.223 · 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

Quick stats

Citations4
Published2002
Admission routes2
Has abstractyes

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