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AUTOMATICA
2007
95views more  AUTOMATICA 2007»
14 years 12 months ago
Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
This paper extends previous work on joint input and state estimation to systems with direct feedthrough of the unknown input to the output. Using linear minimum-variance unbiased ...
Steven Gillijns, Bart De Moor
ICML
2006
IEEE
16 years 19 days 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
CORR
2011
Springer
173views Education» more  CORR 2011»
14 years 6 months ago
Linear Dependent Types and Relative Completeness
—A system of linear dependent types for the lambda calculus with full higher-order recursion, called d PCF, is introduced and proved sound and relatively complete. Completeness h...
Ugo Dal Lago, Marco Gaboardi
ICASSP
2009
IEEE
15 years 6 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
STRINGOLOGY
2004
15 years 1 months ago
Sorting suffixes of two-pattern strings
Recently, several authors presented linear recursive algorithms for sorting suffixes of a string. All these algorithms employ a similar three-step approach, based on an initial di...
Frantisek Franek, William F. Smyth