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Record W2161684407 · doi:10.1109/ccece.2011.6030660

A new FSK-based transmitter dedicated for low-power wireless medical transceivers

2011· article· en· W2161684407 on OpenAlexafffund
Arash Moradi, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsPolytechnique Montréal
FundersCanada Research ChairsCMC Microsystems
KeywordsFrequency-shift keyingTransceiverTransmitterAmplifierElectrical engineeringCMOSElectronic engineeringModulation (music)WirelessAmplitude-shift keyingPower (physics)Computer scienceEngineeringTelecommunicationsChannel (broadcasting)Phase-shift keyingBit error ratePhysicsDemodulation

Abstract

fetched live from OpenAlex

In this paper, a new Frequency Shift Keying (FSK) modulation scheme is proposed to implement the transmitter section of a transceiver for wireless interface of ultra low-power medical sensor networks. The FSK modulation technique is implemented and simulated using TSMC 90 nm CMOS technology to validate its functionality in terms of power consumption and output signal generation. Using the proposed modulation technique, the circuits except the local oscillator and the power amplifier consume no current in order to save the total power budget. The RF transmitter, a part of the transceiver, operates in North American 902–928 MHz ISM Band while consuming a very low current pulled from a supply voltage of 1.2 V.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.995

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.191
Teacher spread0.175 · 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 teacher head, not a consensus.

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

Citations6
Published2011
Admission routes2
Has abstractyes

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