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JMLR
2008
209views more  JMLR 2008»
13 years 5 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
WCE
2007
13 years 6 months ago
Suboptimal Filter for Multisensor Linear Discrete-Time Systems with Observation Uncertainties
The focus of this paper is the problem of recursive estimation for uncertain multisensor linear discrete-time systems. We herein propose a new suboptimal filtering algorithm. The b...
Tyagi Deepak, Vladimir Shin
ICASSP
2008
IEEE
13 years 11 months ago
Compressive sensing and waveform design for the identification of Linear time-varying systems
In this paper, we investigate the application of compressive sensing and waveform design for estimating linear time-varying system characteristics. Based on the fact that the spre...
Jun Jun Zhang, Antonia S. Papandreou
HYBRID
2010
Springer
13 years 7 months ago
Identifiability of discrete-time linear switched systems
In this paper we study the identifiability of linear switched systems (LSSs ) in discrete-time. The question of identifiability is central to system identification, as it sets the...
Mihály Petreczky, Laurent Bako, Jan H. van ...
AUTOMATICA
2005
93views more  AUTOMATICA 2005»
13 years 5 months ago
Strong consistence of recursive identification for Wiener systems
The paper concerns identification of the Wiener system consisting of a linear subsystem followed by a static nonlinearity f (
Xiao-Li Hu, Han-Fu Chen