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CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
13 years 13 days 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
VTC
2008
IEEE
129views Communications» more  VTC 2008»
13 years 11 months ago
A Stochastic Gradient LMS Algorithm for Digital Compensation of Tx Leakage in Zero-IF-Receivers
Abstract— In frequency division duplex transceivers the transmit signal is leaking through the duplexer into the receive branch. For the case of Zero-IF receivers the nonlinearit...
Andreas Frotzscher, Gerhard Fettweis
INFORMATICALT
2006
129views more  INFORMATICALT 2006»
13 years 5 months ago
On the Identification of Hammerstein Systems Having Saturation-like Functions with Positive Slopes
Abstract. The aim of the given paper is the development of an approach for parametric identification of Hammerstein systems with piecewise linear nonlinearities, i.e., when the sat...
Rimantas Pupeikis
ECCV
2010
Springer
13 years 6 months ago
Conjugate Gradient Bundle Adjustment
Abstract. Bundle adjustment for multi-view reconstruction is traditionally done using the Levenberg-Marquardt algorithm with a direct linear solver, which is computationally very e...
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
13 years 9 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson