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椭圆型方程五点差分格式程序，非常简单及使用(Elliptic equations five-point difference scheme program is very simple and use)

Matlab code for face recognition. Face Recognition System - Release 2.1

模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵， Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)

用户可以进行查询，也可以进行取款存款，还可以转账(Users can query, can also make deposits, withdrawals can also be transferred)

matlab学习教程 都是最基本的内容，对新手很有帮助 虽然是英文的，但我相信大家都能听得懂(Matlab tutorial It is the most basic content, very helpful for beginners Although it is English, but I believe that everybody can understand)

在matlab下，实现太阳高度角、日期计算。(In matlab, the realization of solar altitude angle, the date of calculation.)

麻省理工的matlab课件，包括基础知识及一些例子，相当不错(The ppt from MIT in matlab )

ESPRIT是“Estimating signal parameters viarotational invariance techniques”的缩写，含义是“借助旋转不变技术估计信号参数”，它是由Roy[221等人于1986年提出的另一种基于子空间的DOA估计方法。 应用领域 　　侧向定位 信号处理 思想 　　ESPRIT的思想在于，将传感器阵列分解为两个完全相同的子阵列，两个子阵中每两个相对应的阵元具有相同的平移，即要求阵列具有平移不变性，每两个位移相同的阵元匹配成对。所幸的是实际中许多阵列满足这个条件，比如等距直线阵。(ESPRIT is "Estimating signal parameters viarotational invariance techniques" acronym, meaning "With ESPRIT estimation of signal parameters", it is by Roy [221, who in 1986 proposed DOA estimation method based on subspace another. Applications Lateral positioning signal processing Thinking ESPRIT thinking that the sensor array is divided into two identical sub-arrays, each of the two sub-arrays of two corresponding array element has the same translation, which requires an array with translation invariance, the displacement of each of the two identical arrays yuan matching pairs. Fortunately, many of the actual array satisfy this condition, such as equidistant linear array.)

说明：  图像骨架提取，使用matlab开发环境，供同志们使用(Image skeleton extraction using matlab development environment for comrades)

对参差动目标检测（MTI）进行仿真研究，画出了其频率响应曲线，可以在源码中改动初始参数来得到想要的仿真(For mixed moving target detection (MTI) simulation study, draw the frequency response curve, the initial parameters can be changed in the source code to get the desired simulation)