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Record W2146216291 · doi:10.1109/ccece.2004.1345262

Decision directed OFDM-CPM systems for wireless communications

2004· article· en· W2146216291 on OpenAlexaff
Y. Barlas, R.K. Raa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsWestern University
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingContinuous phase modulationComputer scienceBit error rateAdditive white Gaussian noiseElectronic engineeringChannel (broadcasting)Modulation (music)AlgorithmTelecommunicationsEngineeringAcousticsPhysics

Abstract

fetched live from OpenAlex

A decision directed receiver for detection of orthogonal frequency division multiplexing continuous phase modulation (OFDM-CPM) signals is presented. The receiver exploits the correlated phase states of the CPM signal to achieve lower bit error rates than a conventional low-SNR OFDM-CPM receiver. The proposed receiver is suboptimum, less complex and easy-to-implement. It is shown that, for certain modulation parameters of CPM, the proposed receiver outperforms the conventional low-SNR receiver. Bit error rate analysis of the decision directed receiver is given, with the channel assumed AWGN and frequency selective Rayleigh. Performance comparisons of decision directed OFDM-CPM systems with those of conventional systems are presented.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.023
GPT teacher head0.289
Teacher spread0.265 · 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

Citations1
Published2004
Admission routes1
Has abstractyes

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