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» Identification of mixed linear nonlinear state-space models
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103
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CSDA
2011
14 years 4 months ago
Approximate forward-backward algorithm for a switching linear Gaussian model
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
Hugo Hammer, Håkon Tjelmeland
NOLISP
2007
Springer
15 years 3 months ago
On the Usefulness of Linear and Nonlinear Prediction Residual Signals for Speaker Recognition
This paper compares the identification rates of a speaker recognition system using several parameterizations, with special emphasis on the residual signal obtained from linear and...
Marcos Faúndez-Zanuy
CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
14 years 4 months ago
Linear parametric noise models for Least Squares Support Vector Machines
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
75
Voted
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 4 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley
EH
2005
IEEE
158views Hardware» more  EH 2005»
15 years 3 months ago
Co-evolutionary Variance Can Guide Physical Testing in Evolutionary System Identification
Co-evolution of system models and system tests can be used for exploratory system identification of physical platforms. Here we demonstrate how the amount of physical testing can ...
Viktor Zykov, Josh C. Bongard, Hod Lipson