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Record W2494903393 · doi:10.1109/iscas.1997.608720

Low power wideband voltage and current mode second-order filters using wideband CMOS transimpedance network

2002· article· en· W2494903393 on OpenAlexaff
R. Raut, Ning Guo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsConcordia University
Fundersnot available
KeywordsWidebandCenter frequencyElectrical engineeringTransimpedance amplifierCMOSCapacitorBandwidth (computing)AmplifierPhysicsDissipationBand-pass filterVoltageOperational amplifierEngineeringTelecommunications

Abstract

fetched live from OpenAlex

A very wideband CMOS transconductor is used to build a wideband transimpedance amplifier, which realizes second order low pass filters having -3 dB bandwidth to 75.6 MHz and band-pass filter with center frequency of 159 MHz using 1 pF with /spl plusmn/1.25 V power supplies. The power dissipations are respectively 0.67 mW and 0.45 mW per pole. Using Miller effect capacitance of MOS transistors, the low pass filter can be tuned from 124 MHz to 233 MHz with slightly increased power dissipation (0.78 mW per pole). An alternate architecture produces a low-pass bandwidth to 171.3 MHz with 1pF capacitors and a power dissipation of only 0.67 mW per pole. With /spl plusmn/2.5 V supply, the -3 dB frequency and the center frequency can be extended to 286 MHz and 398 MHz respectively with power dissipations of 12.25 mW/pole and 8.17 mW/pole respectively. Both voltage- and current-mode structures are studied.

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: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.218
Teacher spread0.200 · 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

Citations5
Published2002
Admission routes1
Has abstractyes

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