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chapter8-morphology
数字图像处理与机器视觉-visual C++与matlab实现,第8章配套源程序(Digital image processing and machine vision of-visual C++ and MATLAB, the 8th chapter matching source)
- 2014-08-07 15:58:54下载
- 积分：1
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key
一个简单的matlab整流仿真程序，依据数学公式搭建，但出的波形不是很理想(A simple rectifier Matlab simulation program, based on a mathematical formula to build, but the waveform is not very satisfactory)
- 2013-05-11 20:05:55下载
- 积分：1
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Procedures-for-the-ICA
程序为ICA的调用函数，输入为观察的信号，输出为解混后的信号(Procedures for the ICA call the function, enter the observed signal, the output signal unmixing)
- 2013-05-14 08:40:09下载
- 积分：1
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GT
说明： code for global thresholding
- 2010-08-30 01:27:21下载
- 积分：1
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fsksys
Frequency Shift Key Modulation matlab code
- 2014-09-04 11:04:31下载
- 积分：1
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neural-network-
面向matlab工具箱的神经网络理论与应用(Neural Network Theory and Applicationgs with MATLAB toolboxes)
- 2011-12-25 18:46:11下载
- 积分：1
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有限元程序MATLAB
说明： 四杆桁架结构的有限元分析(Bar2D2Node);
三梁平面框架结构的有限元分析(Beam2D2Node);
基于3节点三角形单元的矩形薄板分析(Triangle2D3Node);
基于4节点四边形单元的矩形薄板分析(Quad2D4Node);
基于4节点四面体单元的空间块体分析(Tetrahedron3D4Node);
基于8节点六面体单元的空间块体分析(Hexahedral3D8Node);(Finite element analysis of four bar truss structure (bar2d2node);
Finite element analysis of three beam plane frame structure (beam2d2node);
The analysis of thin rectangular plate based on 3-node triangular element (triangle2d3node);
The analysis of rectangular thin plate based on 4-node quadrilateral element (quad2d4node);
Tetrahedron 3D 4node (Tetrahedron 3d4node) is used to analyze the spatial block;
The spatial block analysis based on 8-node hexahedral element (hexahedral 3d8node);)
- 2020-10-19 22:59:15下载
- 积分：1
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daul_ps_2D_4s
光子筛随机孔分布的例程，用于光子筛成像时使用(Random photon sieve pore distribution routines for use when imaging photon sieve)
- 2013-10-14 20:01:12下载
- 积分：1
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DOA_GUI
implement doa algorithms 1)classical
2)music
3)min-norm
4)mvdr
- 2014-11-18 07:22:12下载
- 积分：1
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Ransac_ls
说明： ransac算法Matlab 实现 RANSAC算法全称是随机抽样一致算法（random sample consensus,RANSAC），RANSAC算法的基本假设是样本中包含正确数据(inliers，可以被模型描述的数据)，也包含异常数据(outliers，偏离正常范围很远、无法适应数学模型的数据)，即数据集中含有噪声。(The ransac algorithm Matlab achieves the RANSAC algorithm's full name is the random sample consensus (RANSAC). The basic assumption of the RANSAC algorithm is that the sample contains the correct data (inliers, data that can be described by the model) as well as outliers (outliers). The normal range is too far to fit into the data of the mathematical model. That is, the dataset contains noise.)
- 2018-04-29 21:30:30下载
- 积分：1
