基于双树复小波变换的X射线脉冲星信号处理

X射线脉冲星信号是一种典型的信噪比非常低的非平稳信号，为了提高对X射线脉冲星信号的识别效果，有效去除噪声是非常必要的。在详细分析了传统去噪算法的优劣之后，提出了一种基于双树复小波变换的X射线脉冲星信号去噪算法。此方法充分地利用了双树复小波变换的平移不变性、有限的数据冗余度和完美的重构性等特点，并研究了双树复小波结合软硬阈值估计法和实小波结合软硬阈值估计法对X射线脉冲星B0531＋21进行去噪的效果。实验结果表明，基于双树复小波变换的消噪算法较小波变换算法相比，对X射线脉冲星信号去噪的效果有了很大的提高。

X-ray Pulsar Signal Processing Based on Dual Tree Complex Wavelet Transform

X-ray pulsar signal is a typical non-stationary signal of which Signal-to-Noise Ratio （ SNR） is very low,so in order to im-prove the recognition capability to X-ray pulsar signal,it is very important for eliminating noise effectively. After analyzing the advanta-ges and disadvantages of the traditional denoising algorithm in detail,present a denoising algorithm based on dual tree complex wavelet transform of X-ray pulsar signal. This method takes full advantage of the translation invariance of the dual tree complex wavelet trans-form,limited data redundancy,perfect reconstruction and so on,and studies the X-ray pulsar B0531＋21 denoising effect by DT-CWT combined with hard and soft threshold estimation method,real wavelet combined with hard and soft threshold estimation method. Experi-mental results show that,the denoising algorithm based on DT-CWT has a great enhancement compared with WT （ Wavelet Transform） algorithm to X-ray pulsar signal.