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Record W1996031632 · doi:10.1109/jssc.2012.2197129

Complete SOC Transceiver in 0.18 $\mu$m CMOS Using Q-Enhanced Filtering, Sub-Sampling and Injection Locking

2012· article· en· W1996031632 on OpenAlexaff
R. Mason, Justin Fortier, Christopher DeVries

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2012
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsBlackberry (Canada)Shared Services Canada
Fundersnot available
KeywordsTransceiverCMOSPower consumptionComputer scienceElectrical engineeringElectronic engineeringPower (physics)Sampling (signal processing)Radio frequencyEngineeringPhysicsFilter (signal processing)

Abstract

fetched live from OpenAlex

Portable audio products have not yet seen a wireless headphone solution that has been widely accepted. The main reason for this is that power consumption for current solutions is too high. We present a solution the uses a sub-sampling receiver combined with Q-enhanced RF filtering and injection-locked LO generation to provide high performance with low power consumption. This paper describes in detail the transceiver architecture, frequency plan, tuning algorithms and obtained performance. The transceiver is fabricated in TSMC 0.18 μm CMOS. The analog and RF sections of the transceiver consume peak currents of 5.2 mA in RX mode and 20.3 mA in TX mode.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.284
Teacher spread0.219 · 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

Citations7
Published2012
Admission routes1
Has abstractyes

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