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Record W2117764711 · doi:10.1109/iscas.2004.1328821

FPGA architectures for real-time 2D/3D FIR/IIR plane wave filters

2004· article· en· W2117764711 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 arrayFinite impulse responseComputer scienceFilter (signal processing)Electronic engineering2D FiltersMultiplexingVery-large-scale integrationCMOSComputer hardwareDigital filterEngineeringEmbedded system

Abstract

fetched live from OpenAlex

Real-time plane wave (PW) filters find many applications in 2D/3D array signal processing. In this work, FPGA architectures are proposed for the real-time implementation of 2D/3D FIR and IIR PW filters. Fully parallel and time division multiplexed (TDM) FIR/IIR filter structures are described for the implementation of 2D/3D frequency planar and 2D fan filters on Xilinx FPGAs. Simulations demonstrate the usefulness of the FPGA technology for rapidly prototyping real-time VLSI/CMOS implementations of FIR and IIR 2D/3D PW filters. The proposed high-speed parallel 2D IIR filter structures promise temporal band-widths of up to 150 MHz using a 300 MHz FPGA chip and the proposed TDM filter structures may be used to implement 3D beam FPGA filters having a temporal sample rate of 180 KHz for a 40/spl times/40 rectangular sensor array.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.454
Threshold uncertainty score0.869

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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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

Citations22
Published2004
Admission routes1
Has abstractyes

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