MIMO OFDM BOOK源程序

计算PSNR。可直接调用，两个输入参数im1,im2为两个图象序列，返回值为PSNR的值。(Calculation of PSNR. Can be called directly, two input parameters im1, im2 two image sequences, the return value is the PSNR.)

all imange processing operation on image operations

遗传算法优化问题求解 yi cuan suan fa(ZCdfdfdffdfdfdfdfdfdfdfdffdf)

这是一个求平面图形覆盖面积的算法，算法简单，很好理解(This is a plane graphics coverage area of ​ ​ the algorithm, the algorithm is simple and well understood)

matlab draw examples

slidingmode control for wind energy

利用这个方法计算混沌时间序列的时间延迟和嵌入维数(Time delay and embedding dimension of chaotic time series calculated using this method)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)

基于离散余弦变换的水印程序，大家看看有没有可以改进的地方(Discrete cosine transform-based watermarking process, everyone can see if there is any improvement)

结合BP神经网络应用平均影响值（MIV，Mean Impact Value）方法来说明如何使用神经网络来筛选变量，找到对结果有较大影响的输入项，继而实现使用神经网络进行变量筛选。(BP neural network application with the average impact value (MIV, Mean Impact Value) method to illustrate how to use the neural network to filter the variables have a greater impact on the results found in the input items, and then realized using the neural network variable selection.)