EM Acceleration Algorithm Using the Vector-ε Apply in Multi-User Detection

Abstract:

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The EM iterative algorithm is a very general and popular algorithm that commonly used for missing data to find maximum likelihood in recent years, which has the character of stability,flexibility and simlicity.However, the EM algorithm has a great weakness that the convergence speed is slowly; Acceleration of the EM algorithm using the Vector-ε method is proposed in order to solve this problem in this paper.In Multi-user Detection, via this accelerated algorithm, we get a good performance which trends to ML performance and improving the computational efficiency, and compared its speed of convergence with the EM algorithm that Vector-ε acceleration algorithm has faster convergence than the standard EM algorithm.

Info:

Periodical:

Advanced Materials Research (Volumes 225-226)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

280-283

DOI:

10.4028/www.scientific.net/AMR.225-226.280

Citation:

J. L. Xian and J. W. Li, "EM Acceleration Algorithm Using the Vector-ε Apply in Multi-User Detection", Advanced Materials Research, Vols. 225-226, pp. 280-283, 2011

Online since:

April 2011

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Price:

$35.00

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