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Two popular channel estimation algorithms, one based on expectation maximization (EM) [15], and one performing a joint minimum-mean-square-error (MMSE) estimation of all user channels [8, 9], are evaluated.
Given the large heterogeneities in thoracic tissues that can impact CT-based attenuation correction of PET activity concentrations, iterative PET reconstructions based on expectation maximization or maximum likelihood tend to produce fewer streak artifacts than those based on analytic filtered backprojection for lung cancer patient imaging studies.
b LD matrix (r2) and haplotype blocks based on Expectation Maximization (EM) algorithm.
To obtain the optimal parameters in the proposed models, an iterative algorithm based on Expectation Maximization is designed.
This method is based on expectation maximization (EM) principle combined with a BE model of the doubly selective channel.
System model is studied in section 2. Sections 3 and 4 propose robust transceivers based on expectation maximization and variation minimization, respectively.
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Essentially PMHT is based on expectation-maximization for handling with association conflicts.
The family of search strategies based on expectation-maximization (EM) looks particularly promising to cope with these new requirements.
Another fixed interval method, based on expectation-maximization channel identification, has appeared recently [8], but this technique is restricted to static channels.
In this paper, we propose a novel statistical approach based on expectation-maximization (EM) method to learn the parameters of a classifier for EEG-based cursor control.
The frequencies of expected haplotypes were estimated by using the statistical methodologies implemented by HPlus software [ 21], which infers haplotypes based on expectation-maximization with a modified progressive ligation computational algorithm.
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