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Record W2147416731 · doi:10.1109/ccece.2005.1557361

A review of 2D/3D IIR plane-wave real-time digital filter circuits

2006· review· en· W2147416731 on OpenAlexaff
Arjuna Madanayake, L.T. Bruton

Bibliographic record

Venuenot available
Typereview
Languageen
FieldComputer Science
TopicDigital Filter Design and Implementation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsField-programmable gate arrayInfinite impulse responseComputer scienceVery-large-scale integrationElectronic circuitElectronic engineeringRealization (probability)Filter (signal processing)Computer hardwareMultiplexingGate arrayDigital filterEmbedded systemElectrical engineeringEngineeringTelecommunications

Abstract

fetched live from OpenAlex

Progress is reviewed on the development of circuits that are well suited for the single-chip VLSI circuit realization of two dimensional (2D) and three dimensional (3D) infinite impulse response (IIR) spatio-temporal real-time digital filters. The distributed parallel processor (DPP) and the scanned-array (SA) vector processor circuit architectures are described. The DPP architecture requires the widely-used synchronously-sampled array of sensor signals and is especially useful for high-throughput applications. The SA architectures employ asynchronously-sampled input signals, require only one time-multiplexed A/D converter and are useful where especially low circuit complexity is required. Extensions of these architectures to elemental pre-distorted (EPD) versions lead to further reductions in circuit complexity. The 2D DPP and 3D SA circuits have been implemented on a single field programmable gate array (FPGA) device and tested on-chip via stepped hardware co-simulation They are useful for selectively filtering plane waves in real-time

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.006

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 head0.084
GPT teacher head0.317
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2006
Admission routes1
Has abstractyes

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