Matlab

该载波同步方案可应用于低信噪比和高动态同存的条件下 接收机设计中,通过对该方案进行MATLAB 仿真,结果表明了该方案能有效地解决了载波快速捕获与精确跟踪的 问题。(The carrier synchronization scheme can be applied with low SNR and high dynamic receiver design under the conditions of existence, through the program MATLAB simulation results show that the scheme can effectively solve the fast carrier capture and accurate tracking of the problem .)

说明：  CFAR代码，CFAR是用于雷达的一种滤波方法，称为平均值滤波，本程序给出了主程序以及CFAR-function，并且有噪音图和信号图，可以进行比较分析(CFAR code, CFAR radar for a filtering method, known as average filtering, the process is the main program and CFAR-function, and the noise and signal map plan, it can conduct a comparative analysis)

说明：  实现了 栅格路径规划 可以自己选择随机路障 (The realization of raster path planning can choose random roadblocks)

用MATLAB语言根据成形滤波器法实现通信环境中的瑞利信道的仿真(Realization of Rayleigh channel communication environment using MATLAB simulation language based on shape filter)

四犬相逐问题的计算机模拟matlab程序源代码(Four dogs with the problem of computer simulation by matlab source code)

可以打开图片的界面，并能完成图片的梯度计算和显示(open picture)

有几类样本点，利用BAYES分类器求出其分界面，并分析这类分类器的特点。(There are several types of sample points, using BAYES classifier obtained its sub-interface, and analyze the characteristics of such classification.)

说明：  所传为共轭梯度法和线性加权法，这两种方法在优化中有较大的作用！(The transfer to the conjugate gradient method and linear weighted method, the two methods in optimization have a greater role!)

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

speech signals in gsm