A new convergence factor for adaptive filters

It is proposed that the convergence factor mu in the adaptive filter can be made time-varying according to the gradient of the performance surface. Computer simulations show that when a suitable damping parameter, alpha , is used, the algorithm possesses a fast convergence rate and yields very small misadjustment. The algorithm works well under nonstationary environments, in sharp contrast with the two-stage method.<
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