In this paper nonlinear wavelet approach to the recovery of signal from noisy data proposed by D.L.Donoho is described. and a new improved algorithm is provided aiming at the key problem of the approach, threshold design. The practical computing examples show that this new algorithm is very efficient, especially when signal noise ratio is lower, This algorithm is evidently better than that often used now.