aim_feature

边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介 (err)

latex ejemplo de proyecto

说明：  小波阈值去噪的基本思想是先设置一个临界阈值λ，若小波系数小于λ，认为该系数主要由噪声引起，去除这部分系数;若小波系数大于λ，则认为此系数主要是由信号引起，保留这部分系数，然后对处理后的小波系数进行小波逆变换得到去噪后的信号。(The basic idea of wavelet threshold denoising is to set a threshold value of lambda first. If the wavelet coefficient is less than lambda, it is considered that the coefficient is mainly caused by noise and this part of the coefficient is removed. If the wavelet coefficient is larger than lambda, it is considered that the coefficient is mainly caused by signal, and this part of the coefficient is retained. Then the denoised signal is obtained by inverse wavelet transform of the processed wavelet coefficient.)

说明：  modèle de la machine asynchrone avec un onduleur de tension

maltab code for Detect circles with various radii in grayscale image via Hough Transform

Fuzzy neural network implementation

image quality measures good for you

在matlab环境下实现卷积码的维特比译码(convolutional VA decoding)

基于matlab高压直流电源simulink连接图，仿真(maltab/simuling power system )

说明：  用于进行变量降维的matlab程序，大家可以试一试，很有效哟(Variable Reduction Testbench MATLAB modules，it is very effective， we can try, very effective ..............)