Jacobi

说明：  普通机床改造成数控机床,是学生毕业也是经常遇到的课题.(Transformed into ordinary CNC machine tools, graduate students are also frequently encountered issues.)

数字水印图片信息隐藏在载体图片的最低有效位lsb，直接替换，该方法简单易操作，鲁棒性很差，经不起加噪，滤波，剪贴等攻击(digital watermarking Photo vector information hidden in the lowest effective photo-lsb direct replacement, The method is simple and easy to operate, robust poor and the inability to increase noise, filtering, clippings and other offensive)

image processing-circle detection

粒子群优化算法能够处理例如不可导的节点传递函数或者没有梯度信息存在。(Particle swarm optimization algorithm can handle such as node can not guide the transfer function or no gradient information exists. )

Haar Trans form using C#

matlab,davenport风速谱，4阶线性滤波法，绝对可以用！(Matlab, Davenport wind speed spectrum, the 4 order linear filter method, the absolute can be used! Can not use, you cut me!)

A*算法路径规划，程序中采用随机障碍物，通过躲避障碍物来完成路径的规划(A* algorithm; path planning)

用于描述26个英文字母在奇异值分解后的空间平面的分布(the English texts are mapped into frequency matrixes of order 26 and the dimensions of texts representation space are reduced through Singular Value Decomposition. Second, it fuses the features of the )

说明：  小程序 大家将就下 把！！！！！通过一个程序 滑模控制 消去抖动(small program where you will! ! ! ! ! Through a sliding mode control procedures to eliminate jitter.)

通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。 具体设计方案为： 1，生成标准正弦信号S 2，生成等长的随机信号N 3，生成加随机噪声的正弦信号X 4，X通过参数可调数字滤波器，输出Y 5，Y与参考信号作差得到误差E 6，E通过自适应算法调整权值W 7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise. The specific design scheme is as follows: 1, generating a standard sinusoidal signal S 2, generating an equal length random signal N 3, generating a sinusoidal signal X with random noise 4, X can adjust the digital filter by parameter and output Y 5, the difference between the Y and the reference signal is E 6, E adjusts the weight W through the adaptive algorithm 7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)