SQP

说明：   图像分割迭代、峰谷、半阈值算法。(Image segmentation iterative, peak, semi-threshold algorithm.)

说明：  这是一个用FDTD算法计算二维金属方柱散射场RCS的matlab程序.采用UPML吸收边界条件和高斯脉冲源激励,对于学习FDTD方法中的激励源加入,近-远场外推,吸收边界设置等很有帮助 (This is a two-dimensional metal with the FDTD algorithm to calculate the scattering RCS of a square cylinder matlab program. UPML absorbing boundary conditions and using the Gaussian pulse source excitation, FDTD methods for studying excitation source added, near- far field extrapolation, absorbing boundary settings, and helpful)

数字信号处理书籍的matlab程序，内含许多数字信号处理内容，值得下载(digital signal processing procedures Matlab books, containing many digital signal processing, is worth the download)

matlabGUI设计的一个简单的例子，实现的图像的阈值的自动调节，然后输出阈值化后的图像，(A simple example matlabGUI designed to automatically adjust the threshold to achieve an image, then the output image after thresholding,)

模拟高耸结构的随机风载荷，风速时程，风载荷时程(Analog towering structures to random wind loads, wind speed time)

三层平板光波导，计算有效折射率，求解波导色散,(Three planar waveguides, calculate the effective refractive index of the waveguide dispersion solution,)

这个代码能够比较精确地实现图像中道路区域的分割与提取。(This code addresses this question by decomposing the road detection process into two steps: the estimation of the vanishing point associated with the main (straight) part of the road, followed by the segmentation of the corresponding road area based upon the detected vanishing point. The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based upon a local voting region using high-confidence voters, whose texture orientations are computed using Gabor filters, and a new vanishing-point-constrained edge detection technique for detecting road boundaries.)

neural network program with 1

包括瞳孔和虹膜的半径找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 (找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 包括瞳孔和虹膜的半径-Find parts of the eye pupil and the iris of the eye at the same time part of the logo based on the location of the eye including the pupil center and iris radius)

说明：  计算一组数据的统计参数，包括最大值、最小值、平均值、方差等。(Calculate the statistical paremeters of a set of data, including the maximum， minmun, mean,variance.)