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» Nonlinear hybrid system identification with kernel models
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CVPR
2008
IEEE
13 years 8 months ago
Motion blur identification from image gradients
Restoration of a degraded image from motion blurring is highly dependent on the estimation of the blurring kernel. Most of the existing motion deblurring techniques model the blur...
Hui Ji, Chaoqiang Liu
BMCBI
2006
194views more  BMCBI 2006»
13 years 7 months ago
Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...
ICML
2006
IEEE
14 years 7 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ICASSP
2011
IEEE
12 years 10 months ago
Fourier expansion of hammerstein models for nonlinear acoustic system identification
We consider the task of acoustic system identification, where the input signal undergoes a memoryless nonlinear transformation before convolving with an unknown linear system. We...
Sarmad Malik, Gerald Enzner
INFORMATICALT
2010
112views more  INFORMATICALT 2010»
13 years 4 months ago
Recursive Identification of Systems with Noninvertible Output Nonlinearities
Abstract. The paper deals with the recursive identification of dynamic systems having noninvertible output characteristics, which can be represented by the Wiener model. A special ...
Jozef Vörös