Simple state-space formulations of 2-D frequency transformation and double bilinear transformation
DOI10.1007/S11045-009-0092-5zbMath1298.94031OpenAlexW2073868611MaRDI QIDQ468101
Natsuko Shiratori, Shi Yan, Li Xu
Publication date: 5 November 2014
Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11045-009-0092-5
linear fractional transformations2-D digital filters2-D frequency transformationdouble bilinear transformationRoesser state-space model
Filtering in stochastic control theory (93E11) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
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- A direct-construction approach to multidimensional realization and LFR uncertainty modeling
- Invariance of second-order modes under frequency transformation in 2-D separable denominator digital filters
- Linear fractional representations of uncertain systems
- Topics in multidimensional linear systems theory
- The Schur complement and its applications
- Generalized LFT-based representation of parametric uncertain models
- On a Certain Linear Fractional Transformation
- A discrete state-space model for linear image processing
- LFT representations of parametrized polynomial systems
- The bilinear transformation of two-dimensional state-space systems
- Analysis and minimization of L/sub 2/-sensitivity for linear systems and two-dimensional state-space filters using general controllability and observability Gramians
- Robust H/sub /spl infin// filtering for Uncertain2-D continuous systems
- Symbolic manipulation techniques for low order LFT-based parametric uncertainty modelling
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