{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:26:34Z","timestamp":1740201994238,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>In this paper, multimode problem of the coupled microstrip resonator structure is analyzed using the &amp;lsquo;equivalent removing&amp;rsquo; method. By this method, the difficult computation for the electromagnetic equation is avoided. The coupled microstrip resonator structure is seen as the substructures of a microwave equalizer which can make the TWTA's (Travelling Wave Tube Amplifier) gain character linear. In order to make the designing easier, the main structure of the equalizer can be seen as the cascade structure of such substructures. Multimode problem caused for the discontinuity structure makes the S-parameter of the main structure cannot be gotten from the cascade equation easily. So the analysis of the multimode problem of the substructure is the most important thing in the equalizer's cascade designing. Good results were obtained when the &amp;lsquo;equivalent removing&amp;rsquo; method was used to analyze the problem, which made the cascade equation can be used to compute the main structure's S-parameters in the designing.<\/jats:p>","DOI":"10.3233\/978-1-61499-722-1-549","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:27:24Z","timestamp":1740133644000},"source":"Crossref","is-referenced-by-count":0,"title":["Multimode Theory Analysis of the Coupled Microstrip Resonator Structure"],"prefix":"10.3233","author":[{"family":"Zhao Ying","sequence":"additional","affiliation":[]},{"family":"Zhang Ai-Hua","sequence":"additional","affiliation":[]},{"family":"Wang Ming-Xiao","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining II"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:35:26Z","timestamp":1740134126000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-721-4&spage=549&doi=10.3233\/978-1-61499-722-1-549"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-722-1-549","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}