| 汽车平顺性试验数据的快速处理 |
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| 引用本文： | 黄键,林大同. 汽车平顺性试验数据的快速处理[J]. 福建农林大学学报(自然科学版), 1991, 0(3) |
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| 作者姓名： | 黄键 林大同 |
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| 作者单位： | 福建农学院农业工程系，福建农学院农业工程系 福州 350002，福州 350002 |
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| 摘 要： | 本文首先分析了汽车平顺性数据处理中的常用手段一傅里叶谱估计方法,这种古典谱估计方法存在着某些不足和局限性,而近年来发展很快的以参数模型法为基础的现代谱估计方法与前者相比有明显的优越性.文中结合运用,对自回归AR模型的几种流行算法作了比较,指出在汽车平顺性数据处理中,Marple算法是一种较为理想的工具.
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| 关 键 词： | 谱估计 分辨 泄漏 仿真 |
Fast Data Process in Automobile Ride Comfort Running Test |
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| Huang Jian Lin Datong. Fast Data Process in Automobile Ride Comfort Running Test[J]. Journal of Fujian Agricultural and Forestry University, 1991, 0(3) |
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| Authors: | Huang Jian Lin Datong |
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| Abstract: | In this paper, we have firstly analysed a normal method in automobile ride comfort running test data process— FFT spectrum analysis. There are certain shortcomings and Limits of this ancient method. Comparely, Parameter model method, Which based on modern spectrum estimate and developing rapidly in these years, has evident advantages. For practice, this paper has compared with several algorithm for AR model, pointing out, Marple computing method is an ideal algorithm in automobile ride comfort testing data process. |
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| Keywords: | spectrum estimate resolution ratio leak emulate |
| 本文献已被 CNKI 等数据库收录！ |
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