detection-objects

《matlab教程》配套光盘，很小，但含有众多源码，欢迎下载()

程序生成的随机数,真正的名字叫做“伪随机数”,需要有一个种子来初始化 使用当前时间去初始化种子,就能得到不同的伪随机数序列(Program generates random numbers, the real name is " pseudo-random number," the need for a seed to initialize the current time to initialize the seed, you can get different pseudo-random number sequence)

说明：  选题二、基于matlab简单图像处理系统用中值滤波方法消除噪声(Two topics, based on matlab image processing system with a simple median filter to eliminate noise)

PID的模糊控制，在matlab中用算法实现了，是个实际中的例程，用于控制倒立摆(Fuzzy PID control algorithm used in matlab, and is a routine practice for the control of inverted pendulum)

matlab的蚁群算法边缘检测方法。代码可以给需要的人学习(ant colony algorithm for edge detection in matlab. The code can be to those who need to learn)

如何生成mif文件 用于导入fpga的RAM存储中(How to generate mif file for importing RAM memory in fpga)

matlab通信信号调制识别仿真，对通信调制的理论分析，适合初学者基础的调制仿真。(Modulation recognition of communication signals matlab simulation, analysis of the modulation theory, suitable for beginners based modulation simulation.)

数字信号处理中数字滤波器的设计及对其滤波使用(Digital signal processing in the digital filter design and its use filtering)

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

灰度图像边缘检测中的laplacian算法的MATLAB仿真实现(MATLAB simulation grayscale image laplacian edge detection algorithm to achieve)