MétaCan
Menu
Back to cohort
Record W2096999262 · doi:10.1109/lcomm.2004.825725

Reduced ICI in OFDM Systems Using the “Better Than” Raised-Cosine Pulse

2004· article· en· W2096999262 on OpenAlexaff
Peng Hui Tan, Norman C. Beaulieu

Bibliographic record

VenueIEEE Communications Letters · 2004
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingRaised-cosine filterPulse shapingCarrier frequency offsetFrequency offsetOffset (computer science)Pulse (music)Interference (communication)Discrete cosine transformComputer scienceTelecommunicationsMultiplexingElectronic engineeringPower (physics)Bandwidth (computing)PhysicsEngineeringChannel (broadcasting)Low-pass filter

Abstract

fetched live from OpenAlex

A recently found "better than" raised-cosine pulse is employed in pulse-shaping orthogonal frequency-division multiplexing to reduce the inter-carrier interference due to frequency offset. The results show that new pulse outperforms the rectangular pulse and raised-cosine pulse in average inter-carrier interference power reduction.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.045
GPT teacher head0.277
Teacher spread0.233 · 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 designNot applicable
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

Citations142
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Communications LettersSame topicPAPR reduction in OFDMFrench-language works237,207