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Record W2133900881 · doi:10.1109/ccece.2004.1349666

Low-voltage and low-power 1.9 GHz body-input downconversion mixer

2004· article· en· W2133900881 on OpenAlexaff
N. Jafferali, M. Jamal Deen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSidebandRadio frequencyCMOSElectrical engineeringLocal oscillatorFrequency mixerNoise figureTransistorIntermediate frequencyCompatible sideband transmissionVoltageElectronic mixerPower (physics)SIGNAL (programming language)PhysicsLow-power electronicsPower consumptionHarmonic mixerEngineeringComputer scienceAmplifier

Abstract

fetched live from OpenAlex

The paper describes a mixer designed in CMOS 0.18 /spl mu/m technology, which uses the body terminal of the transistor as one of the inputs. This method allows for the radio-frequency (RF) and local oscillator (LO) stages in traditional switching mixers to be collapsed into one stage, thereby allowing for operation at lower supply voltages and lower power consumption levels. The mixer was designed to downconvert a 1.9 GHz RF signal to a 250 MHz intermediate-frequency (IF) signal. The simulated performance characteristics result in a power consumption of 400 /spl mu/W from a 0.8 V supply, a conversion gain of 3 dB, a single sideband (SSB) noise figure of 10 dB, and an input-referred 3rd-order intercept point (IIP3) of -11 dBm.

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 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: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.912

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)0.0010.001

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 head0.005
GPT teacher head0.181
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 teacher head, 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

Citations7
Published2004
Admission routes1
Has abstractyes

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