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Record W1886333203 · doi:10.1109/icassp.1990.115743

Synthesis of bandwidth efficient OQAM and VSB transmultiplexers

2002· article· en· W1886333203 on OpenAlexaff
Ravi P. Ramachandran, P. Kabal

Bibliographic record

VenueInternational Conference on Acoustics, Speech, and Signal Processing · 2002
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer scienceBand-pass filterBandwidth (computing)Center frequencySidebandQuadrature amplitude modulationElectronic engineeringBasebandImpulse (physics)Amplitude modulationControl theory (sociology)Frequency modulationAlgorithmTelecommunicationsPhysicsRadio frequencyEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

A set of conditions which allow bandwidth efficient transmultiplexers to be synthesized is developed. The synthesis procedure is based on a generalized impulse response for the combining (modulating) and separation (demodulating) filters. In particular, the combining and separation filters are bandpass versions of one or two lowpass prototypes and are configured to cancel crosstalk by exploiting relationships between the center frequencies, delays, and phases in their impulse response. Based on the derived conditions, five different transmultiplexers are synthesized. Three of them implement orthogonal quadrature amplitude modulation (OQAM) with repeated center frequencies. The other two accomplish vestigial sideband modulation (VSB) with distinct frequencies. The transmultiplexers can be converted into new complementary subband systems. Intersymbol interference is eliminated in both the transmultiplexers and the subband systems by appropriately designing the prototypes.>

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.243
Teacher spread0.216 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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Same venueInternational Conference on Acoustics, Speech, and Signal ProcessingSame topicPAPR reduction in OFDMFrench-language works237,207