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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
ICASSP
2011
IEEE
14 years 1 months ago
Joint Bayesian removal of impulse and background noise
We present a method for the removal of noise including nonGaussian impulses from a signal. Impulse noise is removed jointly a homogenous Gaussian noise floor using a Gabor regres...
James Murphy, Simon J. Godsill
CVPR
1999
IEEE
15 years 11 months ago
Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap
A new method for 3D rigid motion estimation is derived under the most general assumption that the measurements are corrupted by inhomogeneous and anisotropic, i.e., heteroscedasti...
Bogdan Matei, Peter Meer
VLSI
2007
Springer
15 years 3 months ago
Estimating design time for system circuits
System design complexity is growing rapidly. As a result, current development costs are constantly increasing. It is becoming increasingly difficult to estimate how much time it ...
Cyrus Bazeghi, Francisco J. Mesa-Martinez, Brian G...
ICASSP
2009
IEEE
15 years 4 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis