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Record W2059263268 · doi:10.1109/apccas.2006.342528

FPGA Prototyping of Spatio-temporal 2D IIR Broadband Beam Plane-wave Filters

2006· article· en· W2059263268 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Adaptive Filtering Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInfinite impulse responseField-programmable gate arrayComputer scienceFrame rateComputer hardwareFinite impulse responseVery-large-scale integrationBroadbandElectronic engineeringDigital filterBandwidth (computing)Embedded systemEngineeringTelecommunications

Abstract

fetched live from OpenAlex

We propose a VLSI architecture for the single-chip realization of 2D spatio-temporal IIR digital filters, consisting of a meshed connection of concurrent identical vector-processors. The architecture is highly scalable, has high temporal throughput (80 MHz or more temporal frame samples/second, per sensor), and has excellent local interconnectivity. A single Xilinx Virtex-II xc2v2000 FPGA device circuit implementation is described for a highly selective first-order 2D infinite impulse response (IIR) broadband frequency-planar beam plane-wave filter, operating at a frame sample rate in excess of 80 MHz over a synchronously sampled linear sensor array consisting of 15 sensors and 15 A/D converters

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.529
Threshold uncertainty score0.717

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 communication0.0000.000
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 head0.015
GPT teacher head0.217
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

Quick stats

Citations8
Published2006
Admission routes1
Has abstractyes

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