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Record W2132874127 · doi:10.1109/icassp.2006.1660984

MMSE Equalization for Zero Padded Multicarrier Systems with Insufficient Guard Length

2006· article· en· W2132874127 on OpenAlex
F.D. Beaulieu, Benoı̂t Champagne

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
TopicPAPR reduction in OFDM
Canadian institutionsMcGill University
Fundersnot available
KeywordsGuard intervalOrthogonal frequency-division multiplexingCholesky decompositionEqualization (audio)Fast Fourier transformComputer scienceGuard (computer science)AlgorithmConstellationAdaptive equalizerMatched filterSignal-to-noise ratio (imaging)Interference (communication)EqualizerFilter (signal processing)TelecommunicationsDecoding methods

Abstract

fetched live from OpenAlex

We derive a block linear MMSE equalizer suitable for zero padded multicarrier systems with insufficient guard length. The proposed equalizer is not limited to systems using the IFFT/FFT pair (like in DMT or OFDM), but to any multicarrier system that can be modelled as a pair of perfect reconstruction filter banks. As the computational complexity of the equalizer can be high, an efficient implementation based on the Cholesky factorization is developed. Compared to the traditional zero-forcing approach, experiments show that in the presence of interblock interference (IBI), the proposed equalizer performs significantly better, regardless of the signal-to-noise ratio (SNR). In the absence of IBI (i.e. when the guard interval is sufficiently long), improvements have also been observed at low SNR

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: Empirical · Consensus signal: none
Teacher disagreement score0.725
Threshold uncertainty score0.422

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 head0.008
GPT teacher head0.199
Teacher spread0.191 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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