MétaCan
Menu
Back to cohort
Record W2757738192 · doi:10.1109/iscas.2017.8050492

A compact and low power bandpass amplifier for low bandwidth signal applications in 65-nm CMOS

2017· article· en· W2757738192 on OpenAlexaff
Fereidoon Hashemi Noshahr, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsOperational transconductance amplifierAmplifierDirect-coupled amplifierElectrical engineeringCutoff frequencyCMOSOperational amplifierRF power amplifierFully differential amplifierMaterials scienceBandwidth (computing)OptoelectronicsPhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

In this paper, we present a compact and low power bandpass amplifier in the frequency range between 1.5 Hz and 21 kHz. It was designed and simulated in a 65-nm standard Complementary Metal-Oxide-Semiconductor process and 1 V power supply. Decreasing the low-cutoff frequency of amplifier to a few Hz in 65-nm technology with modest feedback capacitance is challenging. Thus, this low-cutoff frequency reduction has been performed in two stages: first, by decreasing the OTA's transconductance and second, by using cross-coupled positive feedback that decreased the low-cutoff frequency to around 1 Hz. At the end applying T network-based capacitive feedback in this amplifier decreased the whole capacitance and realized a compact amplifier. The results showed the gain of 30.4 dB for the amplifier and 0.6 μW dissipation from a 1 V power supply.

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 score0.005

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 science0.0010.000
Research integrity0.0010.000
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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicAnalog and Mixed-Signal Circuit DesignFrench-language works237,207