[1]刘石山,赵建军,岳奇.基于双树复小波变换的X射线脉冲星信号处理[J].计算机技术与发展,2014,24(03):168-171.
 LIU Shi-shan,ZHAO Jian-jun,YUE Qi.X-ray Pulsar Signal Processing Based on Dual Tree Complex Wavelet Transform[J].,2014,24(03):168-171.
点击复制

基于双树复小波变换的X射线脉冲星信号处理()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年03期
页码:
168-171
栏目:
应用开发研究
出版日期:
2014-03-31

文章信息/Info

Title:
X-ray Pulsar Signal Processing Based on Dual Tree Complex Wavelet Transform
文章编号:
1673-629X(2014)03-0168-04
作者:
刘石山赵建军岳奇
昆明理工大学 理学院
Author(s):
LIU Shi-shanZHAO Jian-junYUE Qi
关键词:
X射线脉冲星信号处理双树复小波变换B0531+21消噪
Keywords:
X-ray pulsarsignal processingDual Tree Complex Wavelet Transform ( DT-CWT)B0531+21 denoising
分类号:
TN911.7
文献标志码:
A
摘要:
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。
Abstract:
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.

相似文献/References:

[1]李海东 李青.基于阈值法的小波去噪算法研究[J].计算机技术与发展,2009,(07):56.
 LI Hai-dong,LI Qing.Wavelet Denoising Based on Technique of Threshold[J].,2009,(03):56.
[2]贾丽会 张修如.分形理论及在信号处理中的应用[J].计算机技术与发展,2007,(09):203.
 JIA Li-hui,ZHANG Xiu-ru.Fractal Theory and Its Application in Signal Processing[J].,2007,(03):203.
[3]何韬 梁栋 李瑶 董瑞.小波变换在电力谐波分析中的应用[J].计算机技术与发展,2007,(01):229.
 HE Tao,LIANG Dong,LI Yao,et al.Application of Wavelet Transform in Harmonic Analysis of Power[J].,2007,(03):229.
[4]汪琦,陶亮. 基于DCT的实值离散Gabor变换最优窗宽选择[J].计算机技术与发展,2014,24(10):55.
 WANG Qi,TAO Liang. Optimal Window Width Selection for Real-valued Discrete Gabor Transform Based on DCT[J].,2014,24(03):55.
[5]宋剑,邱晓晖. 采用支持向量回归抑制噪声的经验模态分解方法[J].计算机技术与发展,2014,24(11):122.
 SONG Jian,QIU Xiao-hui. Empirical Mode Decomposition Method Using Support Vector Regression to Suppress Noise[J].,2014,24(03):122.
[6]韩朝相[],雍珊珊[],郑文先[],等. 基于FPGA的大地震前兆传感信号采集模块[J].计算机技术与发展,2015,25(12):1.
 HAN Chao-xiang[],YONG Shan-shan[],ZHENG Wen-xian[],et al. Sensor Signal Acquisition Model of Violent Earthquake Precursor Based on FPGA[J].,2015,25(03):1.
[7]李靖[],李广柱[],石婷[],等. 汽车防撞雷达MFSK信号应用仿真研究[J].计算机技术与发展,2017,27(07):16.
 LI Jing[],LI Guang-zhu[],SHI Ting[],et al. Investigation on MFSK Applications of Automotive Radar[J].,2017,27(03):16.
[8]金秀如,雍珊珊,王新安,等.地震监测系统 AETA 的数据处理设计与实现[J].计算机技术与发展,2018,28(01):45.[doi:10.3969/ j. issn.1673-629X.2018.01.010]
 JIN Xiu-ru,YONG Shan-shan,WANG Xin-an,et al.Design and Implementation of Signal Processing in Seismic Monitoring System AETA[J].,2018,28(03):45.[doi:10.3969/ j. issn.1673-629X.2018.01.010]
[9]屈正庚,杨 川,周川云.基于 MSP430 的微弱信号检测系统设计与实现[J].计算机技术与发展,2019,29(09):146.[doi:10. 3969 / j. issn. 1673-629X. 2019. 09. 028]
 QU Zheng-geng,YANG Chuan,ZHOU Chuan-yun.Design and Implementation of Weak Signal Detection System Based on MSP430[J].,2019,29(03):146.[doi:10. 3969 / j. issn. 1673-629X. 2019. 09. 028]
[10]艾玲梅,薛亚庆,李天东.深度残差网络在脉搏信号亚健康检测中的应用[J].计算机技术与发展,2020,30(07):109.[doi:10. 3969 / j. issn. 1673-629X. 2020. 07. 024]
 AI Ling-mei,XUE Ya-qing,LI Tian-dong.Application of Deep Residual Network in Pulse Signal Sub-health Detection[J].,2020,30(03):109.[doi:10. 3969 / j. issn. 1673-629X. 2020. 07. 024]

更新日期/Last Update: 1900-01-01