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Record W4386472838 · doi:10.1109/tmtt.2023.3308212

Dual-Band Substrate Integrated Waveguide Filter With Independent TE<sub>101</sub> and TE<sub>102</sub> Coupling

2023· article· en· W4386472838 on OpenAlexaff
Peng Chu, Mengjie Luo, Jialong Zhou, Lei Guo, Fang Zhu, Long Zhang, Leilei Liu, Ke Wu

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2023
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
FundersNanjing University of Posts and TelecommunicationsNational Natural Science Foundation of China
KeywordsCoupling (piping)Multi-band deviceSpurious relationshipSubstrate couplingWaveguideElectronic engineeringMicrowaveBand-pass filterWaveguide filterFlexibility (engineering)Enhanced Data Rates for GSM EvolutionFilter (signal processing)Electronic circuitOptoelectronicsMaterials scienceSubstrate (aquarium)Computer scienceElectrical engineeringEngineeringPrototype filterTelecommunicationsFilter designAntenna (radio)Mathematics

Abstract

fetched live from OpenAlex

This article presents a technique for dual-band substrate integrated waveguide (SIW) filters to implement independent coupling for their dual bands based on multilayers and overlapped cavities. It is achieved by using the proposed intercoupling slots in the middle layers. The slots parallel to and near the edge implement TE101 coupling, while the orthogonal slots in the center implement TE102 coupling, and they work independently of each other. Due to their independence, the design complexity of dual-band SIW filters could be significantly decreased, particularly for high-order applications, and the design flexibility could be significantly increased, allowing the use of additional techniques to produce distinct and high-performance responses. Five prototypes are provided, including those that additionally use cross coupling and spurious mode suppression to achieve significantly improved selectivity. The proposed technique should be efficient for developing high-performance dual-band 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.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.206
Teacher spread0.198 · 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

Citations29
Published2023
Admission routes1
Has abstractyes

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