AdoNetEntityDataModelCSharp

对于无源雷达定位系统，采用测向方法对目标定位，并对定位精度进行了分析。(For passive radar location system, using the direction finding method of orientation, and the positioning precision is analyzed.)

图像处理中关于计算一幅图像滤波前或滤波后峰值信噪比的Matlab代码(the matlab code for computing PSNR)

该代码实现了以2为因子的图像升采样和降采样功能。 降采样包括使用平滑滤波器(with using the averaging filter)和不使用平滑滤波器(without using the averaging filter)两种方法。 升采样包括像素点直接复制(pixel replication method)和线性插值(bilinear interpolatoin method)两种方法。 降采样方法和升采样方法共有4种组合。程序运行后，给出了一个原始图片和四个结果图片。 图片1.原始图片。 图片2.平滑滤波器降采样&像素点直接复制升采样。 图片3.平滑滤波器降采样&线性插值升采样。 图片4.不使用平滑滤波器降采样&像素点直接复制升采样。 图片5.不使用平滑滤波器降采样&线性插值升采样。 (The code to achieve a 2-factor image upsampling and downsampling function. Down-sampling (with using the averaging filter) and do not use smoothing filter (without using the averaging filter) are two ways to use the smoothing filter. Upsampling including the pixels copied directly (pixel replication method) and linear interpolation (bilinear interpolatoin method) two methods. Down-sampling method and liters a total of four combinations of sampling methods. The program is running, it shows a picture of an original picture and four results. Picture 1 original picture. Photo 2. Smoothing filter downsampling & the pixel directly copied liter sample. Photo 3. Smoothing filter downsampling & the linear interpolation liter sampling. Picture 4. Smoothing filter down-sampling & the pixels directly copied liter sampling. Picture 5. Use smoothing filter down-sampling & the linear interpolation liter sampling.)

基于matlab gui 模块的水平圆柱体重力异常正演(Forward modeling of gravity anomalies in horizontal cylinders)

用于语音识别即ＤＴＷ算法，计算两个语音信号之间的距离(DTW algorithm for speech recognition is to calculate the distance between the two speech signals)

64 QAM rayleigh figure

车辆工程平顺性方面的1/3倍中心频率的有关程序，我自己用的。大家可能要改一下。()

说明：  模拟n束光束的干涉图像。可以是任意多束。偏振方向可以自己选取(Simulation of n-beam-beam interference image. Multi-beam can be arbitrary. Able to select the polarization direction)

求最短路径问题中的权值矩阵，求最短路径问题中的权值矩阵，(Demand weight matrix)

有关迫零均衡方面的研究，基于MATLAB平台的仿真，值得一看。(The study, based on zero-forcing equalizer MATLAB simulation platform, worth a visit.)