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Record W1958783324 · doi:10.1109/wcnc.1999.796984

Blind and group-blind multiuser detection in colored noise

2003· article· en· W1958783324 on OpenAlexaff
Xiaofang Wang, Anders Høst-Madsen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIntersymbol interferenceInterference (communication)Colors of noiseComputer scienceNoise (video)Channel (broadcasting)Multiuser detectionSubspace topologyColoredBlind signal separationSIGNAL (programming language)Detection theorySignal-to-noise ratio (imaging)Adjacent-channel interferenceCo-channel interferenceElectronic engineeringTelecommunicationsCode division multiple accessArtificial intelligenceDetectorWhite noiseEngineeringMaterials science

Abstract

fetched live from OpenAlex

The problem of adaptive suppression of both multiple-access interference (MAI) and intersymbol interference (ISI) in a dispersive CDMA channel is considered. A subspace-based group-blind technique for this purpose is developed, which blindly suppresses the interfering signals from other cells, while jointly detects the signals within the cell of interest. This technique is extended to the situation where the channel ambient noise is correlated. In this case, two antennas are needed at the receiver for channel estimation and signal separation.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.294
Teacher spread0.259 · 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 designSimulation or modeling
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
Published2003
Admission routes1
Has abstractyes

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