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» Linear Radiosity with Error Estimation
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ICASSP
2010
IEEE
13 years 7 months ago
Identification of linear systems in canonical form through an EM framework
Least-squares estimation has always been the main approach when applying prediction error methods (PEM) in the identification of linear dynamical systems. Regardless of the estim...
Pavlos Papadopoulos, Vassilis Digalakis
TSP
2010
13 years 3 months ago
Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
Stefan Uhlich, Bin Yang
CDC
2008
IEEE
200views Control Systems» more  CDC 2008»
14 years 3 months ago
Maximum-likelihood Kalman filtering for switching discrete-time linear systems
— State estimation is addressed for a class of discrete-time systems that may switch among different modes taken from a finite set. The system and measurement equations of each ...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
ICASSP
2011
IEEE
13 years 9 days ago
How many known symbols are required for linear channel estimation in OFDM?
Training sequences for estimation of channel parameters have been well designed under the condition that the number of the unknown channel parameters is not greater than the numbe...
Shuichi Ohno, Emmanuel Manasseh, Masayoshi Nakamot...
NECO
2007
129views more  NECO 2007»
13 years 8 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe