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Antenna and EM Modeling with MATLAB - Sergey N. Makarov (.m Files).rar(Antenna and EM Modeling with MATLAB- Sergey N. Makarov (.m Files).rar)

说明：  1 运行DCA_simuMain.m开始仿真 2 菜单：导入参数 --》 按键分配时隙--》输入BS编号，查看其最佳服务小区对应的用户，在matlab命令窗口可以看到其时隙分配情况(A simulation run DCA_simuMain.m Start Menu 2: Import parameter- &quot button allocated time slot-&quot input BS number, to view their best serving cell corresponding to the user, in the matlab command window you can see the slot allocation)

Fortran软件的数据分析和数据同化示例，非常有用的海洋学工具，均为源码(Fortran code for the data analysis and data assimalation )

1 SIFT 发展历程 SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 3 SIFT算法的主要特点： a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。 b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。 c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。 d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。 e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。 4 SIFT算法步骤： 1） 检测尺度空间极值点 2） 精确定位极值点 3） 为每个关键点指定方向参数 4） 关键点描述子的生成 本包内容为sift算法matlab源码(1 SIFT course of development SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement. 2 the SIFT main idea The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant. 3 the main features of the SIFT algorithm: a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability. b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23]. c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors. d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements. e) The scalability can be very convenient fe)

echo cancellation using lms matlab code

图像处理常见实例的在matlab环境下的具体实现，源码程序，对于初学者不可或缺。(Common examples of image processing in matlab environment, the specific implementation, the source program, for beginners is indispensable.)

MATLAB实现WiMAX物理层的平台搭建，并仿真实现QPSK,PSK调制(MATLAB WiMAX physical layer of the platform and the simulation realization of QPSK, PSK modulation)

无监督聚类算法,能够自动聚类,不必预先给出类数,聚类精度好于常用的聚类算法.(Unsupervised clustering algorithm, can automatically cluster, do not have to give in advance the number of categories, clustering accuracy of better than commonly used clustering algorithm.)

神经网络训练的matlab M文件仿真例子。这个例子里面可以看到训练后最终拟合曲线是很接近给定样本的。(Matlab M file of the neural network training simulation examples. This example, which can be seen the training after the final fitting curve is very close to a given sample.)

drow stable and unstagble manifolds through the saddle equilibria