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Record W2089041362 · doi:10.1109/lmwc.2015.2409796

A Novel Broadband Linear-in-Magnitude RF Envelope Detector With Enhanced Detection Speed and Accuracy

2015· article· en· W2089041362 on OpenAlex
Jingjing Xia, Slim Boumaiza

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Microwave and Wireless Components Letters · 2015
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEnvelope detectorDetectorPhysicsDynamic rangeEnvelope (radar)Rectifier (neural networks)Electronic engineeringBroadbandVoltageCMOSTopology (electrical circuits)Electrical engineeringOpticsComputer scienceEngineeringOptoelectronicsAmplifierTelecommunications

Abstract

fetched live from OpenAlex

In this letter, a novel linear-in-magnitude RF envelope detector is presented which features high detection speed, low detection error and covers a wide range of carrier frequencies. The proposed detector topology employs a voltage-mode input stage which is AC-coupled to a full-wave rectifier. A prototype was implemented in a 0.13 μm CMOS process. Experimental results demonstrated a 3 dB operating frequency of up to 4.2 GHz and a maximal detection speed equal to 190 MHz. The input dynamic range ( ± 1 dB linear error) was 35.5 dB at 1 GHz and 25.3 dB at 3.5 GHz, respectively.

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.

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 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 score0.036
Threshold uncertainty score1.000

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)0.0000.000

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 head0.023
GPT teacher head0.214
Teacher spread0.191 · 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