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Record W2105664374 · doi:10.1109/iscas.2008.4542103

An 8 Mbps data rate transmission by inductive link dedicated to implantable devices

2008· article· en· W2105664374 on OpenAlexafffund
Zhijun Lü, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsDemodulationPhase-shift keyingElectronic engineeringCMOSComputer scienceNetwork topologyData transmissionElectronic circuitTransmission (telecommunications)Quadrature amplitude modulationElectrical engineeringAmplitude-shift keyingWirelessBit error rateEngineeringChannel (broadcasting)TelecommunicationsComputer hardwareComputer network

Abstract

fetched live from OpenAlex

This paper concerns the design and implementation of a high data rate transmission system over a wireless inductive link. This system, dedicated to medical implantable devices, includes offset quadrature phase shift keying (OQPSK) modulator and demodulator. Both modulator modules feature a reduced complexity, low power, area efficient topologies and allow a high data rate transmission. The demodulator is an improved version from our previous QPSK design, which is based on a modified COSTAS loop. The post layout simulation of the implemented differential topology circuits using a 0.18μm CMOS technology achieves a data transmission rate of 8 Mbps with 13.56 MHz carrier frequency. The power consumptions of the implemented circuits are 16μW and 680μW for the modulator and demodulator respectively with a supply voltage of 1.8V.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.250
Teacher spread0.220 · 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

Citations34
Published2008
Admission routes2
Has abstractyes

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