Plant-Disease_MutiSVM

this small file used for counting of exterima

face recognition with matlab source code.this is not real code do not try for this.okey this just for verification

说明：  井筒参数的计算，盐穴储气库中的注采井的井筒的相关参数计算(Wellbore parameter calculation, salt cavern gas storage in the wellbore injection wells calculate the relevant parameters)

说明：  利用共轭梯度法求线性方程组的Matlab算例(Using conjugate gradient method for solving linear equations Matlab examples)

水电机组仿真，发电机组采用菲利普斯描述。输出信号为有功功率和频率，适用于控制类电气仿真。(Hydro-generator simulation, the generator set described by Phillips. The output signal for the active power and frequency, suitable for control of electrical simulation.)

在一维信号中，用来抑制噪声干扰并保留有用信号，或者对有用信号进行各种变换的数字滤波器有着广泛的应用，在2维中同样的重要，这里面的源代码就是MATLAB经典的线性滤波技术(In one-dimensional signals, used to suppress noise and retain the useful signal, or a variety of useful signal transform digital filter has a wide range of applications, in the 2-dimensional equally important, which is inside the source code of MATLAB classic Linear Filtering Technology)

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets)

说明：  一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。(Short Time Fourier based time-frequency analysis of blind source separation algorithm, hybrid algorithm is based on convolution. Handling non-stationary source signals.)

用于求解组稀疏的matlab代码，可以设置系数为非负。也可以设置分组是否为重叠。(This is a solver for (1) group-sparse basis pursuit model: minimize sum_i w_i*||x_{gi}||_2 subject to Ax = b, x >= 0 (optional),)

matlab在振动分析中的应用源代码 包括各种信号处理的时域频域方法 强烈推荐 仅供学习交流(matlab in vibration analysis application source code, including various signal processing frequency domain method is strongly recommended for learning exchanges)