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A Wideband 24-29 GHz Differential All-Pass Filter in 65-nm CMOS

2021· article· en· W3157643352 on OpenAlexaff
Mohamed B. Elamien, Brent Maundy, Leonid Belostotski, Ahmed S. Elwakil

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWidebandCMOSResistorLinearityElectronic engineeringCapacitorInductorTransistorElectrical engineeringBandwidth (computing)Filter (signal processing)AmplifierLow-pass filterVoltageComputer scienceEngineeringTelecommunications

Abstract

fetched live from OpenAlex

A CMOS wideband voltage-mode fully differential all-pass filter (APF) is discussed. The APF circuit consists of three transistors, two inductors, two capacitors, and four resistors. The proposed APF employs the generic two-transistor common-source amplifier structure. Design procedures along with parasitic analysis are presented for wideband applications. The proposed APF is designed and fabricated in a 65-nm CMOS process. The operation of the proposed APF is validated by experimental and post-layout simulation results. The filter experimentally demonstrates a group delay (GD) of 59 ps at 26 GHz and it has less than 10% delay variation across a wide bandwidth of 24-29 GHz. The implemented design occupies an area of 0.09 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and consumes 5.1 mA from 1 V supply voltage. The noise and linearity performances of the proposed APF are validated by post-layout simulation results. The filter has a noise figure of 8.6-8.9 dB across 24-29 GHz and it achieves an input- referred IP3 of -1.14 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 categoriesInsufficient payload (model declined to judge)
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 score0.385
Threshold uncertainty score0.997

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)0.0040.000

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 head0.020
GPT teacher head0.216
Teacher spread0.196 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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