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Record W2096156623 · doi:10.1109/milcom.2004.1494799

UWB receiver based on filter bank architecture for suppression of narrowband interference noise

2005· article· en· W2096156623 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
TopicUltra-Wideband Communications Technology
Canadian institutionsUniversity of Calgary
FundersMedical Research Council
KeywordsNarrowbandElectronic engineeringComputer scienceInterference (communication)Filter (signal processing)Filter bankBand-pass filterSignal processingNoise (video)WidebandMatched filterAnalog signal processingTelecommunicationsEngineeringChannel (broadcasting)Digital signal processingArtificial intelligence

Abstract

fetched live from OpenAlex

Ultra wideband (UWB) links are inherently subject to narrowband interference from other communication links which results in frequent disruptive outage conditions. This paper proposes a solution for suppressing the narrowband interference noise based on analog filter bank pre-processing in conjunction with maximum ratio combining (MRC) and generalized matched filter (GMF) processing. This receiver architecture requires significantly less processing than the optimum GMF processing while providing excellent suppression of the narrowband interference that rivals the comparative performance of the GMF. It is also shown that analog filter bank (AFB) forms a signal space of dimension equal to the number of bandpass filters and that the processing can effectively cancel multiple tones up to this dimensionality.

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 score0.591
Threshold uncertainty score0.356

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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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

Citations18
Published2005
Admission routes1
Has abstractyes

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