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Record W2560521353 · doi:10.1109/tcsii.2016.2636327

All-Digital Time-Mode Direct-Form All-Pole Biquadratic Filter Realization

2016· article· en· W2560521353 on OpenAlexaff
Moataz Abdelfattah, Gordon W. Roberts

Bibliographic record

VenueIEEE Transactions on Circuits & Systems II Express Briefs · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsRealization (probability)Distortion (music)Filter (signal processing)Butterworth filterNoise (video)Computer scienceElectronic engineeringSIGNAL (programming language)Digital filterMode (computer interface)Low-pass filterElectronic circuitMathematicsEngineeringTelecommunicationsElectrical engineeringPrototype filterBandwidth (computing)Artificial intelligenceStatistics

Abstract

fetched live from OpenAlex

In this brief, the design of time-mode signal processing (TMSP) circuits having an all-digital advantage is introduced and experimental data covering all necessary aspects of operation such as frequency response are presented. TMSP building blocks were used to design two second-order filter prototypes having Butterworth and Chebychev I responses demonstrating peak signal-to-noise-plus-distortion values of 47 dB and 37 dB, respectively, making it a good candidate for data conversion applications.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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

Citations13
Published2016
Admission routes1
Has abstractyes

Explore more

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