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Record W2133430402 · doi:10.1109/mwscas.2007.4488746

A 1.8GHz CMOS continuous-time band-pass delta-sigma modulator for RF receivers

2007· article· en· W2133430402 on OpenAlexafffund
Ali Naderi, Mohamad Sawan, Yvon Savaria

Bibliographic record

VenueConference proceedings · 2007
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsUndersamplingDelta-sigma modulationOversamplingBandwidth (computing)CMOSBand-pass filterElectronic engineeringComputer scienceLow-pass filterRadio frequencyEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a new band-pass undersampling delta-sigma modulator dedicated to multigigahertz frequencies. The proposed architecture is based on up-sampling in the feedback path to increase bandwidth of the DAC in the feedback. Because the analog-side IF is different from the digital-side IF in undersampling modulators, conversion of these IFs is a main problem in such design. The DAC used in the feedback path behaves as a lowpass filter that attenuates high frequency replicas of the analog IF. The underlying proposed architecture can receive high frequency carriers modulated with signals of bandwidth as large as 10 MHz modulated at 1.8 GHz. The paper discuss practical considerations that strongly influence the overall performance of this architecture.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.015
GPT teacher head0.218
Teacher spread0.203 · 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
Published2007
Admission routes2
Has abstractyes

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