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Record W2117760562 · doi:10.1109/mwscas.2000.951446

Variable magnitude characteristics of 1-D IIR discrete filters by a generalized bilinear transformation

2002· article· en· W2117760562 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDigital Filter Design and Implementation
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsBilinear transformMagnitude (astronomy)Bilinear interpolationVariable (mathematics)MathematicsTransformation (genetics)Infinite impulse responseStability (learning theory)Filter (signal processing)Domain (mathematical analysis)Control theory (sociology)Digital filterMathematical analysisComputer sciencePhysicsStatistics

Abstract

fetched live from OpenAlex

It is shown that variable magnitude characteristics can be obtained by the application of a general bilinear transformation of the type s/spl rarr/a/sub 1/z+a/sub 0//b/sub 1/z+b/sub 0/ to a known analog filter. Stability considerations dictate the limits of the values of a/sub 1/, a/sub 0/, b/sub 1/ and b/sub 0/; and these limits have been determined. Starting from some known filter characteristics in the analog domain, it is shown that different magnitude characteristics can be obtained in the discrete domain.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.815
Threshold uncertainty score0.419

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 head0.021
GPT teacher head0.233
Teacher spread0.212 · 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

Quick stats

Citations11
Published2002
Admission routes1
Has abstractyes

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