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Record W2077646281 · doi:10.1109/apccas.2006.342383

Fully-multiplexed First-order 3D IIR Frequency-Planar Filter Module

2006· article· en· W2077646281 on OpenAlex
Arjuna Madanayake, L.T. Bruton

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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDigital Filter Design and Implementation
Canadian institutionsUniversity of Calgary
Fundersnot available
Keywords2D FiltersInfinite impulse responsePassbandPrototype filterComputer scienceFilter (signal processing)Electronic engineeringFilter designDigital filterLow-pass filterMultiplexingComputer hardwareBand-pass filterTelecommunicationsEngineeringComputer vision

Abstract

fetched live from OpenAlex

A VLSI hardware architecture for the on-chip implementation of a first-order 3D IIR fully-multiplexed frequency-planar filter module (FMFPM) is proposed. FMFPMs may be employed in 3D IIR video filtering and sensor-array based plane-wave filtering applications. The proposed FMFPM can potentially be used as a 3D IIR building block circuit for the realization of second (or higher) order frequency-planar filters, 3D IIR beam filters, multiple passband beam filters and multiple passband frequency-planar filters which are required for realizing 3D IIR cone filter banks. An M = 4 passband frequency-planar filter example is provided using a single Xilinx Virtex-II xc2v2000fg676-4 FPGA device

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.618
Threshold uncertainty score0.708

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.230
Teacher spread0.212 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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