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

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

1.
浙江工业职业技术学院, 绍兴 312000

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

计量
- 文章访问数: 78
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- PDF下载量: 9
- 被引次数: 0
出版历程
- 收稿日期: 2012-06-20
- 刊出日期: 2015-07-05

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

1.
Zhejiang Industry Polytechnic College, Shaoxing 312000, China

摘要

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。
- 自适应盲均衡算法 /
- 汽车 /
- 信息总线 /
- 应用
Abstract: After the balanced processing of GHM multi-wavelets, this paper restores the interfered reverse image signal of a vehicle's information bus with the constant modulus blind equalization algorithm based on balanced orthogonal multi-wavelet transform (MWTCMA). The (MWTCMA with the traditional algorithms such as Constant Modulus Blind Equalization Algorithm (CMA) and Wavelets Transform Constant Modulus Algorithm (WTCMA) are compared. The results show that the use of MWTCMA algorithm can enhance the convergence speed and effectively reduce calculation errors.
- adaptive restoration /
- algorithms /
- automobiles /
- blind equalization

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参考文献(18)

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