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Research Article
 

Improvement of the Best and the Worst Case Method on the Automobile Cable Bundles Dynamic Crosstalk Based on the Statistical Model



Gao Yin-Han, Wang Tian-Hao, Yang Kai-Yu, Zhang Jun-Dong, Song Yu-He and Jia Yan-Mei
 
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ABSTRACT

The randomness of automobile cable bundles’ position brought by different installation and automobile motion, leading to cable bundles crosstalk has the dynamic range, using statistics principle to obtain the mean and deviation of dynamic cable bundles crosstalk, under the confidence level of 80% obtained the confidence interval of cable bundles dynamic crosstalk. Using this method improved the dynamic crosstalk range of the original best, worst case method. At the same time, comparing the simulation results of 273 times Random Displacement Spline Interpolation (RDSI) and the improved interval, verified the accuracy and reliability of the model. Under the condition of low frequency, the generated results of 273 times RDSI algorithm all fall in to improved the range and improved interval compared with the original interval shrank by 76%, largely improves the prediction precision, at the same time this method is simple, convenient, according to the different precision requirement, it can quickly predict dynamic crosstalk of automobile cable bundles.

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  How to cite this article:

Gao Yin-Han, Wang Tian-Hao, Yang Kai-Yu, Zhang Jun-Dong, Song Yu-He and Jia Yan-Mei, 2013. Improvement of the Best and the Worst Case Method on the Automobile Cable Bundles Dynamic Crosstalk Based on the Statistical Model. Journal of Applied Sciences, 13: 3330-3334.

DOI: 10.3923/jas.2013.3330.3334

URL: https://scialert.net/abstract/?doi=jas.2013.3330.3334
 

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