Identification of coupled map lattice models of stochastic spatio-temporal dynamics using wavelets

DOI10.1080/14689360410001730773zbMath1072.93028OpenAlexW2036857427MaRDI QIDQ4822124

Lingzhong Guo, Stephen A. Billings

Publication date: 25 October 2004

Published in: Dynamical Systems (Search for Journal in Brave)

Full work available at URL: http://eprints.whiterose.ac.uk/84835/1/acse%20research%20report%20851.pdf

zbMATH Keywords

coupled map latticelocal reconstructionB-spline waveletdynamics of pattern formationstochastic spatio-temporal dynamics

Mathematics Subject Classification ID

Numerical computation using splines (65D07) System identification (93B30) Identification in stochastic control theory (93E12) Numerical methods for wavelets (65T60) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20) Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31)

Related Items (4)

A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors ⋮ MODEL VALIDATION OF SPATIOTEMPORAL SYSTEMS USING CORRELATION FUNCTION TESTS ⋮ THE IDENTIFICATION OF COUPLED MAP LATTICE MODELS FOR AUTONOMOUS CELLULAR NEURAL NETWORK PATTERNS ⋮ THE IDENTIFICATION OF COMPLEX SPATIOTEMPORAL PATTERNS USING COUPLED MAP LATTICE MODELS

Cites Work

• A general framework of compactly supported splines and wavelets
• Analysis and reconstruction of stochastic coupled map lattice models
• Compression of Wavelet Decompositions
• Orthogonal least squares methods and their application to non-linear system identification
• Nonlinear Waves, Solitons and Chaos
• Identification of coupled map lattice models of complex spatio-temporal patterns

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