T
Takao Hinamoto
Researcher at Hiroshima University
Publications - 209
Citations - 1561
Takao Hinamoto is an academic researcher from Hiroshima University. The author has contributed to research in topics: Adaptive filter & Digital filter. The author has an hindex of 18, co-authored 209 publications receiving 1501 citations. Previous affiliations of Takao Hinamoto include Hiroshima Institute of Technology.
Papers
More filters
Journal ArticleDOI
2-D Lyapunov equation and filter design based on the Fornasini-Marchesini second model
TL;DR: In this article, a 2D Lyapunov equation with constant coefficients is considered for the Fornasini-Marchesini second local state-space (LSS) model and a sufficiency condition that ensures the absence of limit cycles is also given.
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Stability of 2-D discrete systems described by the Fornasini-Marchesini second model
TL;DR: An upper bound on parameter variations which guarantees the asymptotic stability of a perturbed 2-D discrete system is considered and it is shown that the upper bound stated here is less conservative than the existing ones.
Journal ArticleDOI
Optimal design of IIR digital filters with robust stability using conic-quadratic-programming updates
Wu-Sheng Lu,Takao Hinamoto +1 more
TL;DR: In this paper, minimax design of infinite-impulse-response (IIR) filters with prescribed stability margin is formulated as a conic quadratic programming (CQP) problem and extended to quadrantally symmetric two-dimensional digital filters.
Journal ArticleDOI
Optimal design of frequency-response-masking filters using semidefinite programming
Wu-Sheng Lu,Takao Hinamoto +1 more
TL;DR: Algorithmic details for the design of basic and multistageFRM filters are presented to show that the proposed method offers a unified design framework for a variety of FRM filters.
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Analysis and minimization of L/sub 2/-sensitivity for linear systems and two-dimensional state-space filters using general controllability and observability Gramians
TL;DR: In this article, a novel expression for the evaluation of L/sub 2/-sensitivity is developed for the cases of linear discrete-time systems, linear continuous-time system, and two-dimensional (2-D) state-space digital filters.