7.31_GUI

通信系统仿真 1.FDMA的simulink仿真 2.TDMA的simulink仿真 3.CDMA的simulink仿真 4.三种多址方式比较 (详细要求请见文件内题目描述)(Communication system simulation 1.FDMA simulink simulation 2.TDMA simulink simulation 3.CDMA simulink simulation 4. Comparison of three multiple access (see the detailed requirements described in the document title))

matlab 基于K均值聚类算法的图像分割(K-means clustering algorithm for image segmentation)

多元曲线分辨工具箱，可以处理色谱联用数据，得到纯光谱曲线和色谱图。(Multivariate curve resolution Toolbox, you can handle the chromatography data, the pure spectral curve and chromatogram.)

Develop a model to analyze load flow frequency

一个关于MATLAB的简单的曲线拟合GUI代码。(A simple curve fitting on MATLAB GUI code.)

Matlab多种图像边缘检测方法 1、用Prewitt算子检测图像的边缘 2、用不同σ值的LoG算子检测图像的边缘 3、用Canny算子检测图像的边缘 4、图像的阈值分割 5、用水线阈值法分割图像 6、对矩阵进行四叉树分解 7、将图像分为文字和非文字的两个类别 8、形态学梯度检测二值图像的边缘 9、形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(Matlab a variety of image edge detection method 1, using Prewitt operator edge detection image 2, with different values of σ LoG operator edge detection image 3, the detection operator Canny edge image 4, image segmentation threshold 5, water line image segmentation threshold 6, on the matrix quadtree decomposition of 7, the image is divided into text and non-text for these two types of 8, detection of morphological gradient of the edge binary image 9, morphological examples- from the PCB images to remove all current lines, retaining only the target chip)

编程 图像处理MATLAB是矩阵实验室（Matrix Laboratory）的简称，是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分。 (image coverting)

移动窗函数法提取实验面波频散曲线的程序，基于matlab编程(surface wave dispersion curve)

本代码实现了灰色关联度分析，仿真了整个分析过程，是一个高效实用的代码值得下载实用。(The source implementation of the Grey Relational Analysis and simulation of the entire analysis process is a practical and efficient code is worth the download utility.)

Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi) + ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].(Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi)+ ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].)