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Sooyong Choi, Tewon Lee and Daesik Hong, "Adaptive error-constrained method for LMS algorithms and applications", Elsevier Science Signal Processing, Oct 2005
[Other Journals]
조회 33664
Status : | Published |
---|---|
Date : | 2005-10 |
Title : | Adaptive error-constrained method for LMS algorithms and applications |
Authors : | Sooyong Choi, Tewon Lee and Daesik Hong |
Journal : | Elsevier Science, Signal Processing |
Abstract : | An adaptive error-constrained least mean square (AECLMS) algorithm is derived and proposed using adaptive error-constrained optimization techniques. This is accomplished by modifying the cost function of the LMS algorithm using augmented Lagrangian multipliers. Theoretical analyses of the proposed method are presented in detail. The method shows improved performance in terms of convergence speed and misadjustment. This proposed adaptive error-constrained method can easily be applied to and combined with other LMS-type stochastic algorithms. Therefore, we also apply the method to constant modulus criterion for blind method and backpropagation algorithm for multilayer perceptrons. Simulation results show that the proposed method can accelerate the convergence speed by 2 to 20 times depending on the complexity of the problem. |
URL : | http://www.sciencedirect.com/science/art...8405000885 |
Sooyong Choi, Te-Won Lee, Daesik Hong, Adaptive error-constrained method for LMS algorithms and applications, Signal Processing, Volume 85, Issue 10, October 2005, Pages 1875-1897, ISSN 0165-1684, 10.1016/j.sigpro.2005.03.017.
(http://www.sciencedirect.com/science/article/pii/S0165168405000885)
Keywords: Least mean square; Lagrangian multiplier; Stochastic gradient algorithm; Constant modulus criterion; Multilayer perceptrons; Backpropagation
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