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Record W2085494747 · doi:10.1109/csics.2010.5619605

A 2.4 Vpp, 60-Gb/s, mm-Wave DAC-Based CMOS Driver with Adjustable Amplitude and Peaking Frequency

2010· article· en· W2085494747 on OpenAlexaff
Ricardo Aroca, Peter Schvan, Sorin P. Voinigescu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCiena (Canada)University of Toronto
Fundersnot available
KeywordsCMOSAmplifierElectrical engineeringPhysicsTransmitterElectronic engineeringEngineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

A 60-Gb/s CMOS driver employing mm-wave DACs to achieve broadband waveshape control and pre-emphasis at different peaking frequencies is presented. It features a modified distributed amplifier (DA) architecture that achieves low-voltage and high-speed summation of both low-pass and reactively-coupled bandpass signal paths along an output transmission line. Using binary-weighted MOSFET gate fingers in Gilbert-cell based DACs, the circuit can supply variable output swing up to 1.2V peak-to-peak per side in a 50Ω load and independent digital pre-emphasis control at 25 GHz, 35 GHz and 45 GHz, respectively. S-parameter measurements of the entire retimed transmitter show 60dB of differential gain, while the standalone DA exhibits approximately 10 dB of peaking control in each of the three frequency bands. Input and output return loss is better than - 10 dB up to 60 GHz. The entire circuit, including the transimpedance-limiting-amplifier-retimer, operates from 1.2V and 2V supplies and achieves a throughput efficiency of 12.2 mW/Gb/s.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.192
Teacher spread0.180 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2010
Admission routes1
Has abstractyes

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