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自适应盲均衡算法在汽车信息总线图像恢复中的应用

石小利 陈齐苗 吴壮文

石小利, 陈齐苗, 吴壮文. 自适应盲均衡算法在汽车信息总线图像恢复中的应用[J]. 机械科学与技术, 2015, 34(7): 1076-1079. doi: 10.13433/j.cnki.1003-8728.2015.0721
引用本文: 石小利, 陈齐苗, 吴壮文. 自适应盲均衡算法在汽车信息总线图像恢复中的应用[J]. 机械科学与技术, 2015, 34(7): 1076-1079. doi: 10.13433/j.cnki.1003-8728.2015.0721
Shi Xiaoli, Chen Qimiao, Wu Zhuangwen. Applying Adaptive Blind Equalization Algorithm to Vehicle's Information Bus Image Restoration[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(7): 1076-1079. doi: 10.13433/j.cnki.1003-8728.2015.0721
Citation: Shi Xiaoli, Chen Qimiao, Wu Zhuangwen. Applying Adaptive Blind Equalization Algorithm to Vehicle's Information Bus Image Restoration[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(7): 1076-1079. doi: 10.13433/j.cnki.1003-8728.2015.0721

自适应盲均衡算法在汽车信息总线图像恢复中的应用

doi: 10.13433/j.cnki.1003-8728.2015.0721
基金项目: 

2012年度校级重大项目(1023401092012001)与2013年度全国统计科学研究计划项目(2013LY042)资助

详细信息
    作者简介:

    石小利(1967-),高级实验师,研究方向为汽车总线系统,sxl-310@163.com

Applying Adaptive Blind Equalization Algorithm to Vehicle's Information Bus Image Restoration

  • 摘要: 选用GHM多小波,对其进行平衡处理后,采用基于平衡正交多小波变换常模盲均衡算法(MWTCMA),对汽车信息总线中的受干扰的倒车影像信号进行自适应恢复实验,并将实验结果与常模盲均衡算法(CMA)和正交小波盲均衡算法(WTCMA)等方法进行对比。结果表明:采用MWTCMA方法可以提高仿真计算收敛速度,降低计算误差。
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出版历程
  • 收稿日期:  2012-06-20
  • 刊出日期:  2015-07-05

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