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Record W1953727782 · doi:10.1109/pacrim.1993.407246

PN code acquisition for asynchronous CDMA communications based on interference cancellation

2002· article· en· W1953727782 on OpenAlexaff
Zhen-Liang Shi, Peter F. Driessen, Wenyu Du

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSingle antenna interference cancellationPseudorandom noiseCode division multiple accessAsynchronous communicationComputer scienceSIGNAL (programming language)Interference (communication)Scheme (mathematics)Code (set theory)Spread spectrumSynchronization (alternating current)Signal processingAlgorithmElectronic engineeringComputer hardwareTelecommunicationsMathematicsEngineeringDigital signal processingDecoding methods

Abstract

fetched live from OpenAlex

A novel PN (pseudonoise) code acquisition technique based on interference cancellation is developed for asynchronous CDMA (code division multiple access) communication systems. The acquisition scheme is robust because the near-far problem is alleviated by the cancellation process. Two schemes are proposed. One is based on a one-by-one cancellation, in which the estimated strongest signal is removed from the current composite signal at one stage and never reestimated at the following stages. The signals are removed one by one until the weakest signal is detected. The other scheme is based on a simultaneous estimation and cancellation technique, in which all the signals so far detected are estimated together and removed from the original composite signal at each stage. The latter scheme has a better acquisition performance; however, the former one requires fewer computations.>

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.085
GPT teacher head0.323
Teacher spread0.237 · 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

Citations5
Published2002
Admission routes1
Has abstractyes

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