形态学边界提取

ch3_1_1：嵌套使用图像代数函数 ch3_1_2：两幅图像相加 ch3_1_3：图像与常数相加 ch3_1_4：两幅图像相减 ch3_1_5：两幅图像相乘 ch3_1_6：图像除以常数[两幅图像相除ch3_2_1：图像缩放 ch3_2_2：图像旋转 ch3_2_3：图像剪切 ch3_2_4：生成和应用仿射变换 ch3_2_5：findbounds函数的应用 ch3_2_6：makeresampler函数的应用ch3_2_7：投影变换 ch3_3_1：计算图像的局部标准差 ch3_3_2：计算输入图像的3×3邻域像素值的最大值（§3.3.2） 根据指定的坐标选择一个六边形区域 按灰度分割图像中的目标 函数poly2mask的调用格式 对指定区域进行锐化滤波 填充指定的区域 (ch3_1_1: nested function using the image algebra ch3_1_2: the sum of two images ch3_1_3: Image and constant sum ch3_1_4: subtract two images ch3_1_5: two images multiplied ch3_1_6: image divided by the constant [two images division] ch3_2_1: image scaling ch3_2_2: Image Rotation ch3_2_3: image shear ch3_2_4: Generation and application of affine transformation ch3_2_5: findbounds function application ch3_2_6: makeresampler function application ch3_2_7: projection transformation ch3_3_1: Calculation of the local standard deviation image ch3_3_2: Calculation of the input image 3 × 3 neighborhood of the maximum pixel value [§ 3.3.2] in accordance with the designated coordinates to select a hexagonal region segmentation by gray-scale image of the objective function calls poly2mask format designated area sharpening filter to fill the designated regional)

不同版本的频率选择性信道matlab仿真,同时附有word版原理说明(Different versions of frequency-selective channel matlab simulation, at the same time with a word version of the principle that)

SVM matlab的源代码，用于建立支持向量机模型(code for svm)

MATLAB代码！估计参数GARCH（1,1）使用MLE估计模型。然后通过仿真，检查2类错误（大小和功率测试），以确保您建立正确的模型；

说明：  Jacobi迭代法和SOR方法求解线性方程组(Jacobi iterative method and the SOR method for solving linear equations)

IB packet must end on a 8 DW boundary.

MATLAB GUI设计学习手记（第二版）源程序第10章 俄罗斯方块编译文件(MATLAB GUI design learning Hearts (second edition) source 10 Chapter Tetris compiled files)

关于matlab软件用法的介绍，及教程 （线性系统方面的应用）( Soft Introduction to Matlab Demonstration of Numerical Computations Create vectors, sample sinusoids and Chirp Signals Generate and plot Continuous-time and Discrete-time signals )

基于深度学习的稀疏自编码器，对图像特征进行提取，然后分类(Extraction the encoder based on sparse feature depth study)

source code imgstegno