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IJCNN
2000
IEEE
14 years 1 days ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta
SIGPRO
2010
88views more  SIGPRO 2010»
13 years 6 months ago
Data compression using SVD and Fisher information for radar emitter location
: This paper presents a data compression method that can achieve a very large compression ratio for radar pulse trains that are to be used for time-difference-of-arrival/frequency-...
Mark L. Fowler, Mo Chen, J. Andrew Johnson, Zhen Z...
ICASSP
2010
IEEE
13 years 7 months ago
A minimax approach to Bayesian estimation with partial knowledge of the observation model
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
Tomer Michaeli, Yonina C. Eldar
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 7 months ago
On resampling and uncertainty estimation in Linear System Identification
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Simone Garatti, Robert R. Bitmead
NIPS
2004
13 years 9 months ago
Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks
We introduce a computationally efficient method to estimate the validity of the BP method as a function of graph topology, the connectivity strength, frustration and network size....
Joris M. Mooij, Hilbert J. Kappen