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Record W2138123785 · doi:10.1109/imtc.2005.1604220

Impacts of Non-Ideal Analog Interfacing Factors on OFDM Baseband Signals

2006· article· en· W2138123785 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

Venue2005 IEEE Instrumentationand Measurement Technology Conference Proceedings · 2006
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsCarleton University
Fundersnot available
KeywordsBasebandInterfacingDemodulationOrthogonal frequency-division multiplexingComputer scienceElectronic engineeringOffset (computer science)Line codeFrequency offsetAmplitudeConvertersElectrical engineeringTelecommunicationsEngineeringBandwidth (computing)Computer hardwarePhysicsVoltage

Abstract

fetched live from OpenAlex

This paper focuses on selected unavoidable flaws and limitations of digital-analog interfacing that impact OFDM baseband signals. Investigations through a hardware setup are used to collect empirical data to observe the impact of gain error, I/Q amplitude imbalance, system resolution, and DC offset on OFDM demodulation. In addition, software simulations emulate the hardware results to estimate the error magnitude from each analog factor. Further more, simulations are used to investigate the impact of each analog factor. The factors considered include: DC offset, gain error, I/Q amplitude imbalance, and system resolution

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
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
Bibliometrics0.0010.000
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 head0.025
GPT teacher head0.240
Teacher spread0.215 · 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