(1) Fixed step size can not result in fast convergence speed and low residual error simultaneously.

(2) This paper presented a new adaptive variable step size LMS algorithm, which controls step size according to the correlation of the gradient change of filter coefficients.

(3) Effects of weight number step size bandwidth of signal and noise are examined in the application of LMS and NLMS algorithm to adaptive cancellation of vibration noise.

(4) With finite difference approximation, the space and time step size was solved to ensure the convergency of finite difference approximation.

(5) Notice how the step size increases as the value increases ( values roughly double each time ).

(6) F ig . 5 T he average step size as a function of extending vo ltae.

(7) A selfadapted two step size algorithm is presented, which overcomes the limitation of the Newton algorithm.

(8) The strategy of dynamically adjusting the parameter of step size was analyzed.

(9) A modified approach for narrowband adaptive beam pattern optimisation is proposed by using a varying step size in the optimisation procedure.

(10) By analyzing the partial linearization algorithm of CTDM, a quadratic interpolation method is proposed to obtain the approximated optimal step size.

(11) This paper proposed a fast frequency tracking scheme for orthogonal frequency-division multiplexing(OFDM) system based on variable step size adaptive filtering algorithm.

(12) The ASPC algorithm is based on a modification of the transmitted power update step size.

(13) A fast phase-lock feature can also be enabled to give switch times between 11 and 22 ms depending on absolute frequency and step size.

(14) This fact leads to the necessity for a rule of self - adaptation of the mutation step size.