Multiport conversions and cascading for h and ABCD parameters

Abstract

This dissertation provides a comprehensive examination of multiport network analysis focusing on h and ABCD parameters and matrix partitioning, significantly enhancing the understanding and application of these parameters in the field. The research introduces a pioneering methodological framework that explores the intricate relationships between these parameters, facilitating their conversion and cascading in network analysis using matrix partitioning. Noteworthy contributions include the development of an innovative h-parameter cascading formula and the detailed analysis of parameter conversion processes, offering fresh perspectives on their operational dynamics in both balanced and unbalanced networks. Furthermore, the dissertation evaluates the practical implications of these findings, illustrating their utility in optimizing network design and performance. The insights garnered from this study enrich the theoretical landscape of multiport networks and provide actionable strategies for their analysis and optimization, laying a robust groundwork for future investigations in electronic and communication engineering. This body of work underscores the pivotal role of advanced parameter analysis in enhancing the efficacy and efficiency of multiport network systems, heralding a new era of research in the domain.