Koh Kawanobe
Papers
1
Total Citations
2
H-Index
1
About
Koh Kawanobe is a researcher whose work centers on dynamic system identification and signal processing, with a particular focus on two-dimensional autoregressive (AR) modeling. His most cited paper, "Dynamic system identification based on two-dimensional autoregressive model fitting" (1987), introduces a novel method that maps modal parameters between the z-transform and Laplace (s-domain) planes, enabling more accurate system characterization. Although his citation count is modest—his top paper has only 2 citations—Kawanobe’s contribution lies in the foundational nature of his approach, which bridges discrete and continuous system representations. This work is notable for its potential applications in vibration analysis, control systems, and structural health monitoring, where precise modal identification is critical. Kawanobe’s research reflects a deep engagement with mathematical modeling and system theory, offering a unique perspective on reducing dimensionality in dynamic systems. For students and researchers exploring early methods in system identification, his work provides a valuable historical and methodological reference point.
Research Focus
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Top Papers
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