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Record W2095758699 · doi:10.1109/icee.2008.4553890

A multi-channel wideband direct-conversion receiver using synchronization signal from a tunable injection locked oscillator

2008· article· en· W2095758699 on OpenAlexafffund
Munir A. Tarar, Zhizhang Chen

Bibliographic record

Venue2008 Second International Conference on Electrical Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaAtlantic Canada Opportunities Agency
KeywordsPhase-locked loopSynchronization (alternating current)Computer scienceInjection lockingElectronic engineeringWidebandPhase-shift keyingSIGNAL (programming language)Channel (broadcasting)TelecommunicationsPhase noiseEngineeringBit error ratePhysics

Abstract

fetched live from OpenAlex

Synchronization is a challenging issue facing industrial designers that has not been researched often by academic researchers. The conventional techniques are phase-locked loop (PLL), digital PLL, or direct-digital synthesis (DDS). With any one or a combination of these techniques, high performance can be achieved at the expense of complexity or cost. In this paper, another technique, the injection locking technique, is explored to provide synchronization for a direct-conversion receiver. More specifically, signal synchronization is achieved with a selectable dielectric-resonator injection locked oscillator (DRILO) designed at a free running frequency of 3.634GHz. The receiver developed was able to recover the carrier and IQ signals from 3.58GHz, 3.63GHz and 3.69GHz with 50Msps to 63Msps QPSK modulated signals. The receiver designed as such is novel and simple, and can find applications in many modern communications such as WiMax. It can also overcome frequency synchronization problems faced in OFDM systems.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.228
Teacher spread0.200 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2008
Admission routes2
Has abstractyes

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