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Bessel-beam-simulation-master

于 2021-04-19 发布

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代码说明：

说明： Bessel beam simulation

文件列表：

Bessel-beam-simulation-master, 0 , 2018-03-22
Bessel-beam-simulation-master\PSFofBesselBeam_Axicon.m, 21778 , 2018-03-22
Bessel-beam-simulation-master\README.md, 1193 , 2018-03-22
Bessel-beam-simulation-master\demo1.m, 2070 , 2018-03-22
Bessel-beam-simulation-master\demo2.m, 2108 , 2018-03-22
Bessel-beam-simulation-master\maskDesign.m, 7691 , 2018-03-22

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积分：1
quite practical flash of the original code, it can provide a lot of information
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PQ-Fiber 是清华大学土木工程系结构工程研究所基于大型通用有限元程序ABAQUS 开发的一组材料单轴滞回本构模型的集合。主要用于在钢筋混凝土结构、钢结构等的弹塑性时程分析中定义杆系结构的材料本构，同时可用于任何只需要定义材料单轴滞回本构模型的情况。作者以 FORTRAN 编译文件.obj 的形式在网上免费发布PQ-Fiber 的最新版本，以供广大科研与工程设计人员使用，发布的版本没有功能限制。请使用者尊重知识产权，(PQ-Fiber is a Structural Engineering Research Institute of Civil Engineering Department of Tsinghua University. It is based on the large general finite element program ABAQUS. A set of uniaxial hysteretic constitutive models is set up. It is mainly used for elastic-plastic properties of reinforced concrete structures and steel structures. In the process analysis, the material constitutive equation of the bar structure is defined, and it can be used for any material requiring only a uniaxial hysteretic constitutive model. The situation. The author releases the latest version of PQ-Fiber on the Internet for free in the form of FORTRAN compiler.Obj. The use of large research and engineering designers has no functional limitations. Invites users to respect intellectual property rights,)

2021-04-06 22:29:02下载

积分：1
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芯片为TMS320F28379D，程序包括上计数模式，上下计数模式，死区，错误(The chip is TMS320F28379D. The program includes upper counting mode, upper and lower counting mode, dead zone and error.)

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2022-07-01 06:27:32下载

积分：1
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2009-11-28 20:55:15下载

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说明： Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly, a low-dimensional face space (pca) is created using training images. This is obtained by training principal component analysis (PCA) of image set and principal component analysis of image (i.e. eigenvectors with larger eigenvalues). As a result, all the test images are represented by the selected principal components, the Euclidean distance between the projected image and all the projected train images is calculated, and the minimum value is selected to find the training image most similar to the test image.)

2020-12-17 10:59:11下载

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Bessel-beam-simulation-master

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