To improve the denoising effect of pulsar signal,a new method is proposed in und ecimated wavelet packet domain based on local Laplace prior model.First,the undecimated wavelet packet coefficient s distribution characteristics of the true noise-free pulsar signal are counted,and the Laplace probability den sity function model of the true signal wavelet packet coefficients is established.Then,the denosied wavelet packet coe fficients are estimated by using the noisy pulsar wavelet coefficients based on maximum a posteriori (MAP) criterion.Finally,the denoised pulsar signal is obtained by nosubsampled wavelet packet reconstruction of the estimated coefficients.The experimental results show that the proposed method can get better denosing effect than the nosubsampled wavelet met hod and the nosubsampled wavelet packet method based on Gaussian distribution,which can more better remove the n oise of pulsar signal and more effectively preserve the micro-pulse detail information.Moreover,the propos ed method has a better improvement in signal-to-noie (SNR),root mean square e rror,correlation coefficient and peak relative error,etc.