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Record W2160914654 · doi:10.1109/tmtt.2007.897706

Physical Interpretation and Implications of Similarity Transformations in Coupled Resonator Filter Design

2007· article· en· W2160914654 on OpenAlexaff
S. Amari, M. Bekheit

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2007
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsQueen's UniversityRoyal Military College of Canada
Fundersnot available
KeywordsSimilarity (geometry)ResonatorBand-pass filterFilter (signal processing)Topology (electrical circuits)Basis (linear algebra)Transformation (genetics)Prototype filterComputer scienceElectronic engineeringMicrowaveRepresentation (politics)Matrix (chemical analysis)MathematicsAlgorithmFilter designEngineeringElectrical engineeringArtificial intelligenceTelecommunicationsMaterials scienceCombinatorics

Abstract

fetched live from OpenAlex

This paper discusses the physical interpretation and implications of similarity transformations for applications in coupled resonator filter design. It is shown that certain similarity transformations contain important ldquoglobalrdquo information that can be used to get insight into the workings of microwave bandpass filters. Instead of focusing on the effect a similarity transformation has on the original coupling matrix, the change of basis that the similarity transformation represents is considered the main operation. For a filter of orderNthat is designed as a set ofNcoupled resonators, it is shown that the transversal matrix is equivalent to using the global eigenmodes of the entire structure as a basis. The transversal matrix emerges as a universal and natural representation of coupled resonator bandpass filters of arbitrary orders, responses, and topologies. It can be used as an equivalent circuit in the optimization and diagnosis of bandpass coupled resonator filters. The results of this study have far reaching implications not only for the theory and design of microwave filters, but other circuits as well.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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 designTheoretical or conceptual
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

Citations41
Published2007
Admission routes1
Has abstractyes

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