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Record W2101837036 · doi:10.1109/icc.2006.254735

BER of A Bandlimited Single-Interferer Maximum-Likelihood BPSK Receiver With Carrier Phase Error

2006· article· en· W2101837036 on OpenAlexaff
Amir Masoud Rabiei, Norman C. Beaulieu

Bibliographic record

Venue2006 IEEE International Conference on Communications · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBandlimitingPhase-shift keyingIntersymbol interferenceAdditive white Gaussian noiseMathematicsAlgorithmBit error ratePhase noiseKeyingGaussian noiseComputer scienceStatisticsElectronic engineeringWhite noiseTelecommunicationsDecoding methodsEngineering

Abstract

fetched live from OpenAlex

An exact expression for the bit error probability of a maximum-likelihood receiver used to detect two bandlimited binary phase-shift keying signals in a synchronous additive white Gaussian noise channel in the presence of carrier phase recovery errors is derived. The users employ pulse-shaping filters whose impulse responses satisfy Nyquist's first criterion for zero intersymbol interference. The receiver's error probability is compared with that of the perfect phase recovery case for various values of signal-to-interference ratio (SIR) to show its sensitivity to carrier phase errors. It is shown that the receiver is more robust to carrier phase mismatch at large values of SIR than at small values of SIR.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.062
GPT teacher head0.323
Teacher spread0.261 · 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
Published2006
Admission routes1
Has abstractyes

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