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Record W3091044309 · doi:10.1109/lssc.2020.3024290

A 4-GS/s Digitally Interpolated 8-Bit Concurrent Binary Search ADC

2020· article· en· W3091044309 on OpenAlexaff
Shovon Dey, Fnu Aurangozeb, Rajiv K. Shukla, Masum Hossain

Bibliographic record

VenueIEEE Solid-State Circuits Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBit (key)Binary numberComputer scienceArithmetic8-bitComputer hardwareMathematicsComputer network

Abstract

fetched live from OpenAlex

This letter describes a 4-GS/s four-way time-interleaved binary search analog-to-digital converter (ADC) in 65-nm CMOS. The ADC improves the conversion speed and resolution by concurrent binary searching on overlapping search space. After concurrent searching, the two successive approximation register ADC with reference offset generate 8-bit codes which are digitally interpolated to generate 9-bit code including 1-bit redundancy. Taking advantage of the higher conversion rate in the first two cycles and digital interpolation, ADC requires only six cycles to generate a 9-bit resolution at 1-GS/s rate. Consuming 28 mW, the implemented prototype achieves 39.56-dB SNDR and 48.21-dB SFDR at Nyquist frequency.

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)0.001
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.001
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 head0.027
GPT teacher head0.232
Teacher spread0.205 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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