MIMO-path-loss

详细讲解OFDM的资料，需要的拿去，我学习使用的资料(OFDM elaborate on the information needs of Na Qu.)

基于傅里叶变换求相位差的MATLAB实现(Based on Discrete Fourier Transform MATLAB implementation phase)

TS算法求解TSP问题,里面包含样本数据，算法收敛较好，优化结果比较理想！(tabu search for TSP)

说明：  图像压缩去噪增强锐化程序，供大家参考。 包括：数字图像矩阵数据的显示及其傅立叶变换 二维离散余弦变换的图像压缩 采用灰度变换的方法增强图像的对比度 采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 图像的自适应魏纳滤波 运用5种不同的梯度增强法进行图像锐化 图像的高通滤波和掩模处理 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 利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理-(Sharpen Image Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment)

仿真2×1瑞利信道，分别考虑三种接收分集技术：最大比合并、等增益合并、选择性合并，并给出误码率比较。(In a one transmitting antenna and two receiving antenna collocate,calculate the bits error rates of the maximum ratio combining,equal gain combining ,selective combining and SISO system)

空间目标识别，采用PM算法，是国外的成品模型，数值分析的EULER法。( Space target recognition algorithm using PM, Foreign model is finished, EULER numerical analysis method.)

维纳滤波器实现中值滤波，该程序是用matlab源代码来实现的。(Wiener filter realization of median filtering, the program source code with matlab achieved.)

实现雷达点目标在距离向和方位向的压缩处理(Radar point target in the distance and direction to the compression to)

电机模型，使用matlab语言。 在simulink环境下使用(Motor model, using the matlab language. Used in the simulink environment)

说明：  如关键词，本人搭建的，在matlab2016b上测试。(For example, keywords, built by myself, are tested on MATLAB 2016b.)