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Record W1972015825 · doi:10.1109/tcsi.2015.2407432

A Quadrature Charge-Domain Sampling Mixer With Embedded FIR, IIR, and N-Path Filters

2015· article· en· W1972015825 on OpenAlexafffund
Yushi Zhou, N.M. Filiol, Fei Yuan

Bibliographic record

VenueIEEE Transactions on Circuits and Systems I Regular Papers · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInfinite impulse responseFinite impulse responseElectronic engineeringCMOSSampling (signal processing)EngineeringFilter (signal processing)Digital filterElectrical engineering

Abstract

fetched live from OpenAlex

This paper presents the analysis and design of a quadrature charge-domain down-conversion sampling mixer with embedded finite-impulse-response (FIR), infinite-impulse-response (IIR), and 4-path bandpass filters. An in-depth investigation of the principles of periodic impulse sampling, periodic windowed sampling, and periodic N-path windowed sampling is presented and their characteristics are compared. A detailed mathematical treatment of charge-domain windowed samplers with built-in sinc, FIR and IIR filters is provided. A quadrature charge-domain sampler with embedded FIR, IIR, and 4-path band-pass filters is proposed and its performance including the effect of the non-idealities of devices is investigated. The proposed design is implemented in an IBM 130 nm 1.2 V CMOS technology. Simulation results demonstrate that the proposed design is tunable over 50-250 MHz frequency range. For an 100 MHz input, the proposed design exhibits 70 dB aliasing rejection, 60 dB stop band attenuation while consuming current of 145 μA. The performance of the proposed design is further validated using the results of on-wafer measurement of the fabricated microchip.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.531
Threshold uncertainty score0.846

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 head0.220
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations12
Published2015
Admission routes2
Has abstractyes

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Same venueIEEE Transactions on Circuits and Systems I Regular PapersSame topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207