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Record W1981339237 · doi:10.1541/ieejeiss.131.1081

An Efficient IEEE-Compliant 8*8 Inv-DCT Architecture with 24 Adders

2011· article· en· W1981339237 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.

Bibliographic record

VenueIEEJ Transactions on Electronics Information and Systems · 2011
Typearticle
Languageen
FieldComputer Science
TopicDigital Filter Design and Implementation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDiscrete cosine transformAdderComputer scienceInteger (computer science)Encoding (memory)Algebraic numberScheme (mathematics)ArithmeticInverseArchitectureBasis (linear algebra)AlgorithmParallel computingComputational scienceComputer hardwareMathematicsImage (mathematics)Artificial intelligenceTelecommunicationsMathematical analysis

Abstract

fetched live from OpenAlex

A cost-effective architecture to compute the Inverse Discrete Cosine Transform (IDCT) is presented. It uses a new 2-D algebraic integer encoding that maps the transform basis coefficients with integers that results in considerable savings in hardware cost. Only 24 adders are required to perform the 8-point 1-D IDCT operation. Simulation results show that the proposed scheme is compliant to IEEE-1180 standard in terms of accuracy requirements.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.536

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 communication0.0000.001
Open science0.0000.000
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 head0.026
GPT teacher head0.229
Teacher spread0.202 · 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