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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
For each network type, an example is included, to illustrate the implementation of the related algorithm.
📌 3 Key Takeaways
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Objective & Hypothesis:An algorithm has been proposed, to synthesize low-pass, high-pass, band-pass and band-stop lossless ladder networks with simple lumped elements connected via commensurate transmission lines (Unit elements, UEs).
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Key Findings & Data:First, the type of the element that will be extracted is determined from the given mixed-element network function.
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Conclusion & Impact:For each network type, an example is included, to illustrate the implementation of the related algorithm.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
An algorithm has been proposed, to synthesize low-pass, high-pass, band-pass and band-stop lossless ladder networks with simple lumped elements connected via commensurate transmission lines (Unit elements, UEs). First, the type of the element that will be extracted is determined from the given mixed-element network function. After obtaining element value, it is extracted, and the two-variable reflection function of the remaining mixed-element network is obtained. This process is repeated until extracting all the elements. For each network type, an example is included, to illustrate the implementation of the related algorithm.
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Cite This Article
ŞENGÜL, M. (2022). Synthesis of lossless ladder networks with simple lumped elements connected via commensurate transmission lines. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 10 - Sayı: 2, 1219–1228. https://ajindex.com/articles/543705