Adaptive signal processing
Adaptive filter theory
Adaptive algorithms and stochastic approximations
Adaptive algorithms and stochastic approximations
Neural network design
Blind Channel Equalization and Identification
Blind Channel Equalization and Identification
A stochastic gradient adaptive filter with gradient adaptive stepsize
IEEE Transactions on Signal Processing
A variable step size LMS algorithm
IEEE Transactions on Signal Processing
Adaptive step-size algorithms for blind interference suppression inDS/CDMA systems
IEEE Transactions on Signal Processing
A robust variable step-size LMS-type algorithm: analysis andsimulations
IEEE Transactions on Signal Processing
The stability of variable step-size LMS algorithms
IEEE Transactions on Signal Processing
LMS algorithm with an adaptive neural network cost function
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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.