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Record W2592542929

C-band direct digital receiver MMIC

2002· article· en· W2592542929 on OpenAlexaff
E. Marsan, G. Brehm, Ke Wu, R.G. Bosisio

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2002
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMonolithic microwave integrated circuitRadio receiver designElectronic engineeringComparatorAmplifierRF front endElectrical engineeringDemodulationSensitivity (control systems)Computer scienceEngineeringRadio frequencyCMOSTransmitterVoltage
DOInot available

Abstract

fetched live from OpenAlex

A new direct conversion and high speed uni-mode (QPSK) receiver designed with MMICs is proposed for 5.8 GHz ISM-band communications. The receiver architecture consists of one MMIC module for receiver front-end to include a six-port based circuit with matched RF detectors and low noise amplifiers (LNAs). A second module of receiver is designed with hybrid integrated circuits (HIC) and it performs all base-band functions including amplification of output signals from the six-port, carrier recovery and I-Q decoder circuit. The maximum bit rate (at least 50 Mbps) is determined solely by analog circuitry and the limit is directly related to the sensitivity of signal level comparators. The receiver designed with MMIC module is proposed as a low cost robust receiver for high data-rates applications. Simulation results are presented for MMIC prototype and measurements are given for equivalent HICs.

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)0.000
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.011
GPT teacher head0.187
Teacher spread0.177 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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