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Estimator for Number of Sources using Minimum Description Length Criterion for Blind Sparse Source Mixtures
Minimum Description Length Criterion Blind Sparse Source Mixtures
2015/9/29
In this paper I present a Minimum Description Length Estimator for number of sources in an anechoic mixture of sparse signals.The criterion is roughly equal to the sum of negative normalized maximum l...
Nonnegative-definite covariance structures for which the least squares estimator is the best linear unbiased estimator
Nonnegative-definite covariance structures the least squares estimator
2010/9/15
For the Gauss-Markov model with E(y) = Xβ and Var(y) = V,we establish a new explicit characterization of the general nonnegative-definite covariance structure V such that the best
linear unbiased est...
Recursive Least Squares Estimator with Multiple Exponential Windows in Vector Autoregression
exponential window rectangular window
2007/12/11
In the parameter tracking of time-varying systems, the ordinary method is weighted least squares with the rectangular window or the exponential window. In this paper we propose a new kind of sliding w...