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ICA
2004
Springer
15 years 3 months ago
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
Antti Honkela, Stefan Harmeling, Leo Lundqvist, Ha...
ICC
2000
IEEE
211views Communications» more  ICC 2000»
15 years 2 months ago
Higher Order Adaptive Filter Based Predistortion for Nonlinear Distortion Compensation of Radio over Fiber Links
 The biggest limitation of Radio over Fiber (ROF) links in a wireless network is its limited dynamic range due to ‘Non Linear Distortions’ (NLD). In this paper a higher orde...
Xavier N. Fernando, Abu B. Sesay
SIAMCO
2010
201views more  SIAMCO 2010»
14 years 4 months ago
Analysis of Unconstrained Nonlinear MPC Schemes with Time Varying Control Horizon
For discrete time nonlinear systems satisfying an exponential or finite time controllability assumption, we present an analytical formula for a suboptimality estimate for model pre...
Lars Grüne, Jürgen Pannek, Martin Seehaf...
CSE
2009
IEEE
15 years 4 months ago
Self-Tuning the Parameter of Adaptive Non-linear Sampling Method for Flow Statistics
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...
Chengchen Hu, Bin Liu
ISNN
2009
Springer
15 years 4 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo