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Record W7117484193 · doi:10.1109/lmwt.2025.3556220

Cross-Coupled Substrate Integrated Waveguide Filter Using Orthogonality to Improve Selectivity

2025· article· W7117484193 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

VenueIEEE Microwave and Wireless Technology Letters · 2025
Typearticle
Language
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
FundersNational Natural Science Foundation of China
KeywordsSpurious relationshipCoupling (piping)OrthogonalityMicrowaveSelectivityTransmission (telecommunications)WaveguideFilter (signal processing)

Abstract

fetched live from OpenAlex

The substrate integrated waveguide (SIW) filters usually employ cross coupling to achieve quasi-elliptic responses, getting steep selectivity near the passband. However, the added cross coupling also facilitates the transmission of spurious modes, leading to significant spurious passbands and insufficient selectivity in the stopband. It has been challenging to address this problem effectively. In this letter, we propose a solution. By using the orthogonality of spurious modes and coupling paths, spurious modes can be naturally suppressed in both the main and cross-coupling paths, thereby suppressing spurious passbands and improving selectivity in the stopband. At the same time, the quasi-elliptic response remains unaffected, which can be designed as usual, and the structure change is very small without increasing the complexity compared with the conventional design. It should be effective for developing SIW filters in microwave and wireless circuits and systems.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.202
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.009
GPT teacher head0.248
Teacher spread0.238 · 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