C_V

车牌识别 里面包含了程序源代码还有图像，对彩色图片识别大有用处 (chepai shibie)

VC图像编辑软件 就要卷积模糊和卷积模糊加噪 以不同方法（大于等于2）实现图像的模糊效果（局部或全局）。并以BMP格式存储。(soft)

介绍matlab下求解偏微分方程的函数和用法(Introduction matlab function for solving partial differential equations and usage)

使用matlab实现的,基础单变量以及多变量梯度下降算法,和信号分类以及信号归一化部分算法，是机器学习领域最基本的代码，希望大家多多交流(matlab implementation of basic univariate and multivariate gradient descent and signal classification algorithms, machine learning basic code, hope that more exchanges)

基于频率锁定环路和相位锁定环路级联，高斯噪声下的高动态实现载波跟踪(Based on frequency-locked loop and a phase locked loop cascade, the Gaussian noise high dynamic carrier tracking)

傅里叶描述子用来描述和识别图像中有边缘的物体形状，本程序基于MATLAB，测试可用(Fourier descriptor is to analyze and identify the important objects in the shape of one of the methods. The use of polygon-based curve near Continuous Fourier transform method like Fourier descriptors, and through the main direction of the shape to eliminate the border from Phase of the influence of starting point, define a new rotation, translation and scale invariance of the normalized Fourier Ye descriptor.)

像素与图像基本指标—彩色图像的基本信息、像素颜色值、图像的大小、矩阵形式等、对灰度图像计算有关统计参数：（1）图像的大小；（2）图像的灰度平均值；（3）图像的自协方差；（4）图像的灰度标准差、对图像进行45度，19度，98度等任意角度的旋转，并计算原图与旋转后图像的相关系数和协方差矩阵(Pixel and Basic Index of Image)

OCR的概念是在1929年由德国科学家Tausheck最先提出来的，后来美国科学家Handel也提出了利用技术对文字进行识别的想法。而最早对印刷体汉字识别进行研究的是IBM公司的Casey和Nagy，1966年他们发表了第一篇关于汉字识别的文章，采用了模板匹配法识别了1000个印刷体汉字。(The concept of OCR in 1929 by the German scientist Tausheck Handel first put forward later, scientists in the United States also put forward ideas of text recognition using technology. In 1966, they published their first article on Chinese character recognition, using template matching method to recognize 1000 printed Chinese characters.)

通信专业滤波算法中通过改变不同的观测角计算接受信号的信噪比。(Communications professional filtering algorithm by changing the different observation angle calculation to accept the signal-to-noise ratio.)

图像时频变换实例，包括FFT变换、FFT逆变换、DCT变换、DCT逆变换、DWT变换、DWT逆变换、WHT变换、WHT逆变换等。(Examples of image frequency conversion, including FFT transform, FFT transform, DCT transform, DCT transform, DWT transform, DWT transform, WHT transform, inverse transform, etc..)