EM Acceleration Algorithm Using the Vector-ε Apply in Multi-User Detection
2011 ◽
Vol 225-226
◽
pp. 280-283
Keyword(s):
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.
2011 ◽
Vol 225-226
◽
pp. 284-288
Keyword(s):
2021 ◽
Vol 8
(9)
◽
pp. 275-277
Keyword(s):
1986 ◽
Vol 5
(1)
◽
pp. 16-22
◽
2008 ◽
Vol 103
(484)
◽
pp. 1648-1658
◽
Keyword(s):
2005 ◽
Vol 15
(2)
◽
pp. 191-206
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