论文信息 - Multiresolution methods for reduced order models for dynamical systems - 字舞流文

Multiresolution methods for reduced order models for dynamical systems

Andrew J. Kurdila | Othon K. Rediniotis | Thomas W. Strganac | C. Prazenica

[1] I. Daubechies. Orthonormal bases of compactly supported wavelets , 1988 .

[2] K. C. Chou,et al. Multiscale recursive estimation, data fusion, and regularization , 1994, IEEE Trans. Autom. Control..

[3] Asmund Huser,et al. Proper orthogonal decomposition applied to turbulent flow in a square duct , 1994 .

[4] S. Palavajjhala,et al. Process identification using discrete wavelet transforms: Design of prefilters , 1996 .

[5] P. Holmes,et al. The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows , 1993 .

[6] Georgios B. Giannakis,et al. Time-varying system identification and model validation using wavelets , 1993, IEEE Trans. Signal Process..

[7] K. C. Chou,et al. Multiscale systems, Kalman filters, and Riccati equations , 1994, IEEE Trans. Autom. Control..

[8] Michèle Basseville,et al. Modeling and estimation of multiresolution stochastic processes , 1992, IEEE Trans. Inf. Theory.

[9] Nadine Aubry,et al. The dynamics of coherent structures in the wall region of a turbulent boundary layer , 1988, Journal of Fluid Mechanics.

[10] R. Nikoukhah,et al. Multiscale system theory , 1994 .

[11] Lawrence Sirovich,et al. Dynamical eigenfunction decomposition of turbulent channel flow , 1991 .

[12] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..