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Record W2167658481 · doi:10.1109/issse.2007.4294495

One-Tap Equalizer for Perfect Reconstruction DFT Filter Bank Transceivers

2007· article· en· W2167658481 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
TopicPAPR reduction in OFDM
Canadian institutionsMcGill University
Fundersnot available
KeywordsFilter bankComputer scienceSubcarrierTransceiverBandwidth (computing)Equalization (audio)EqualizerNarrowbandAdaptive equalizerElectronic engineeringFilter (signal processing)Intersymbol interferenceOrthogonal frequency-division multiplexingTelecommunicationsEngineeringDecoding methodsWirelessChannel (broadcasting)

Abstract

fetched live from OpenAlex

In this paper, we investigate a simple equalization method for DFT filter bank transceivers. We assume the presence of perfect reconstruction (PR) DFT filter banks and make use of this property to derive a one-tap per subcarrier equalizer. The proposed equalizer does not require additional bandwidth, other than the bandwidth necessary for PR purposes. Computer experiments show that the one-tap PR DFT filter bank transceiver outperforms the well-known OFDM system, especially in environments dominated by narrowband noise.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.639
Threshold uncertainty score1.000

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)0.0010.000

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 head0.026
GPT teacher head0.252
Teacher spread0.226 · 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

Citations7
Published2007
Admission routes1
Has abstractyes

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