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Record W2161043535 · doi:10.1109/cnsr.2006.10

A Reconfigurable Four-Channel Transceiver Testbed with Signalling-Wavelength-Spaced Antennas under Centralized FPGA Control

2006· article· en· W2161043535 on OpenAlexafffund
J. Andy Harriman, Brent R. Petersen, Mary E. Kaye

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsUniversity of New Brunswick
FundersAtlantic Canada Opportunities AgencyCMC Microsystems
KeywordsTestbedTransceiverField-programmable gate arraySoftware-defined radioStratixBasebandComputer scienceComputer hardwareEmbedded systemControl channelChannel (broadcasting)Digital signal processingElectronic engineeringEngineeringBandwidth (computing)WirelessComputer networkTelecommunicationsBase station

Abstract

fetched live from OpenAlex

We propose a novel software defined radio implementation of a four-channel transceiver testbed with signaling-wavelength-spaced antennas. The radio frequency (RF) side of the system will be implemented using commercial off the shelf (COTS) products, whereas the baseband processing portion of the system will be implemented on a pair of Altera Stratix II EP2S180 development boards with high-speed analog devices analog-to-digital converter (ADC) daughter boards. The FPGA will be used to implement DSP algorithms and to affect centralized control over the entire system. A goal is to create a testbed for algorithms and radio channel measurements.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.204
Teacher spread0.190 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2006
Admission routes2
Has abstractyes

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