Abstract:

The interval wavelet transforms are integrated with linear mean square (LMS) and new Quasi-Newton algorithm，from which a new Quasi-Newton LMS adaptive noise canceling in the interval discrete wavelet transform domain （IDWT-QNLMS） is presented. With good environmental adaptability，the algorithm can reduce the impact of the step-size factor selection and the input signal autocorrelation matrix estimate error on the convergence rate and steady-state error. The computer simulation results indicate that the higher convergence rate and stronger ability to eliminate noise are obtained by using this algorithm in comparison with other LMS algorithms，and the new algorithm is effectively applicable to adaptive noise canceling systems.