对于短时间内X射线脉冲星信号形成的脉冲轮廓的信噪比低,提出基于提升小波的X射线脉冲星信号的降噪方法。分析了基于提升小波的信号降噪理论模型。在周期叠加的基础上,利用探测设备及空间环境的先验信息建立预降噪模型,并对X射线脉冲星的脉冲轮廓做降噪预处理。通过选择小波和自适应的阈值函数,利用提升小波对脉冲轮廓降噪。通过对多组罗西X射线计时探测器(RXTE)卫星探测的实测X射线脉冲星数据的仿真分析,结果表明,降噪后的脉冲轮廓信噪比得到提高,且算法有更快的处理速度。 Aiming at the low signal-to-noise ratio of the pulse profile formed by X-ray pulsar signals in a short time, a noise reduction method based on X-ray pulsar signals is proposed. The signal noise reduction theory model based on lifting wavelet is analyzed. Based on the periodic superposition, the pre-noise model is established by using the a priori information of the detection equipment and the space environment, and the noise profile of the X-ray pulsar is denoised. By selecting the wavelet and adaptive threshold function, the noise of the pulse profile is reduced by using the lifting wavelet. Through the simulation analysis of the measured X-ray pulsar data from several groups of Rossi X-ray time-lapse detectors (RXTE), the results show that the signal-to-noise ratio of the pulse profile after noise reduction is improved and the algorithm has a faster processing speed .