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123abc
超声相控阵仿真论文,研究了超声声束的指向性、声压等特性,以及探头设计准则。(Ultrasonic phased array simulation thesis, studies the ultra sound beam directivity, pressure characteristics, as well as the probe design criteria.)
- 2013-03-06 10:31:19下载
- 积分:1
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sys
地震合成记录,通过褶积模型,利用子波和反射系数求出了自激自收情况下的波形。(synthetic seismogram)
- 2011-12-06 16:34:27下载
- 积分:1
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To-build-real-time
基于MATLAB-SIMLINK系统中xPC的TPMS数据采集系统的设计(Based on of xPC the TPMS data acquisition system design)
- 2013-04-26 10:56:52下载
- 积分:1
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PM
说明: 利用传播算子,进行阵列信号角度估计,运算快,不需要峰值搜索。(Use propagator conduct array signal angle estimation, fast operation, no peak search.)
- 2015-03-21 12:34:47下载
- 积分:1
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matlabexample
说明: 包含很多matlab实用程序,设计各个方面的应用。(Matlab contains a lot of utility, design all aspects of the application.)
- 2008-11-29 23:50:34下载
- 积分:1
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Implicit1Ddiffusionequation
matlab编写的一维扩散方程求解程序,适用于初学者学习CFD编程:隐式算法,TDMA求解,分别计算平板、球、圆台的导热问题,采用了不同的边界条件
PS:自己编写的计算传热学作业(1D diffusion equation solver using MATLAB ,for fresh learner in CFD programming: Implicit, TDMA. 3 cases: plane, sphere, and yuantai heat transfering problem. In different boundary conditions.
)
- 2012-04-29 09:08:27下载
- 积分:1
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考虑噪声和弱行波的对测量影响的配电网行波测距 danduan.emt
考虑噪声和弱行波的对测量影响的配电网行波测距。在PSCAD上搭建模型仿真获得数据导入MATLAB进行小波分析,最终实现故障测距,精度达到102m,(Consider the impact on the measurement of the distribution network traveling wave noise and weak traveling wave. Built on the model simulation PSCAD get data into MATLAB wavelet analysis, the ultimate realization of fault location with an accuracy of 102m,)
- 2021-03-09 19:49:27下载
- 积分:1
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WVDist_thfeng
说明: 该程序可以生成WVD分布,将其做成函数可以方便研究员做研究使用。(it can generate the WVD function.)
- 2011-03-14 23:19:30下载
- 积分:1
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Febbre
calcola fitting febbre
- 2012-08-14 05:51:46下载
- 积分:1
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基于PCA的SVM分类
说明: 选择“BreastCancer”数据集,使用支持向量机(SVM)对其进行分类。作为对比,第一次对特征集直接进行支持向量机分类,第二次对特征集进行主成分分析法的特征提取后,再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
- 2020-06-20 10:20:02下载
- 积分:1