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Record W2071229443 · doi:10.1049/ip-com:20050133

Filter-bank design for multicarrier modulation systems with MPSK based on symbol-error-rate evaluation

2006· article· en· W2071229443 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

VenueIEE Proceedings - Communications · 2006
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingCyclic prefixFilter bankModulation (music)AlgorithmDiscrete Fourier transform (general)Computer scienceFilter (signal processing)Bit error rateElectronic engineeringPhase-shift keyingCommunications systemMathematicsTelecommunicationsFourier transformEngineeringChannel (broadcasting)Fractional Fourier transformFourier analysisPhysicsAcoustics

Abstract

fetched live from OpenAlex

A novel complex-valued filter-bank design method, for generic multicarrier-modulation (MCM) systems with M-ary phase-shift keying (MPSK), is presented to minimise the symbol error rate (SER). The SER is evaluated by a newly derived closed-form formula, which can be used to evaluate both discrete-Fourier-transform (DFT)-based orthogonal-frequency-division-multiplexing (OFDM) and discrete-wavelet-multitone (DWMT) systems. Monte-Carlo numerical simulations are performed to verify the theoretical SER analysis and compare the error performance of the proposed MCM system with DFT-based OFDM and DWMT systems. It is shown that the derived formula is consistent with simulation results and the newly designed complex-valued filter-bank-based MCM system outperforms conventional DWMT systems in terms of the SER and has comparable SER performance with DFT-based OFDM systems with cyclic prefix (CP).

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.746
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.071
GPT teacher head0.289
Teacher spread0.218 · 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