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Record W2038307299 · doi:10.1109/bsc.2008.4563237

Information rates of optical impulse modulation over indoor diffuse wireless channels

2008· article· en· W2038307299 on OpenAlex
Mohamed D. A. Mohamed, Steve Hranilovic

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
TopicOptical Wireless Communication Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOptical wirelessKeyingComputer scienceOn-off keyingModulation (music)Channel (broadcasting)Phase-shift keyingWirelessElectronic engineeringBit error rateTelecommunicationsPhysicsAcousticsEngineering

Abstract

fetched live from OpenAlex

Optical impulse modulation (OIM) is a recent wireless optical modulation scheme that achieves high data rates by utilizing high-frequency bands to satisfy the channel non-negativity constraint. These bands are attenuated by the lowpass indoor diffuse optical wireless channel, and hence are not detected by the receiver. For a uniform binary input distribution, the information rates are investigated for OIM and compared to those of a conventional rectangular on-off keying (Rect-OOK) scheme. Using a well-known exponential model for the indoor diffuse optical channel, at a normalized delay spread of 0.3 and optical signal-to-noise ratio (SNR) of 3 dBo, the information rate of OIM with a simple lowpass receiver is shown to be 8.6% higher than that of Rect-OOK with a more complex whitened matched filter receiver.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.395

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 communication0.0000.001
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 head0.016
GPT teacher head0.233
Teacher spread0.217 · 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