EM Acceleration Algorithm Using the Vector-ε Apply in Multi-User Detection
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.
Helen Zhang, Gang Shen and David Jin
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