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Record W2163777394 · doi:10.1109/vetecf.2002.1040360

Adaptive filterbank multicarrier wireless systems for indoor environments

2003· article· en· W2163777394 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsMcGill University
Fundersnot available
KeywordsSubcarrierCyclic prefixOrthogonal frequency-division multiplexingComputer scienceEqualization (audio)Electronic engineeringLink adaptationFilter bankBit error rateInterference (communication)WirelessModulation (music)FadingChannel (broadcasting)TelecommunicationsEngineeringAcoustics

Abstract

fetched live from OpenAlex

We investigate the use of modulated filterbanks in adaptive wireless multicarrier systems operating in indoor environments. The motivation for using filterbanks, as opposed to OFDM, is that these spectrally selective modulation filters can decrease the amount of interchannel interference without using lengthy cyclic prefixes which are necessary in OFDM. The design of the synthesis and analysis filterbanks, based on a single lowpass prototype filter, is presented. Furthermore, optimal subcarrier MMSE equalization, adaptive bit and power loading, as well as null subcarrier placement techniques are employed to enhance system throughput and bit error rate performance when operating in frequency selective channels. The performance of this system is studied and compared with an IEEE 802.11a compliant system, which is based upon OFDM modulation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.011
GPT teacher head0.199
Teacher spread0.188 · 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

Quick stats

Citations14
Published2003
Admission routes1
Has abstractyes

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