Perceptual

估计光流的经典算法B&A，通过测试可以运行，但运行时，占用内存过大，如果出现警告请详细查看readme(Estimates the optical flow for standard test sequences using H&S algorithm)

基于A星算法的航迹规划MATLAB代码，空间是三维的(A satellite-based path planning algorithm MATLAB code, space is three-dimensional)

维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； (Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )

Implement the following as inlines.

power_VariableInductor,matlab仿真文件,电力电子、功率电子控制方面很有价值，调试通过(aspects of power_VariableInductor, matlab simulation files, power electronics, power electronics control valuable debugging through)

pitch estimation matlab

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.)

针对六自由度机器人关节运动强耦合难分析的问题,开发了可视化机器人仿真平台。该平台以KLD-600型六自由度教学机器人为研究对象,利用MATLAB集成仿真环境,分别实现了机器人正逆运动学计算、机器人点动和联动操作的动画演示等功能,且所有功能以图形用户界面的形式进行调用。该仿真平台可作为机器人教学和科研的仿真工具。(Six degrees of freedom robot joint motion for strong coupling analysis of the problem difficult to develop a visual simulation platform robot. The platform KLD-600-type robot teaching six degrees of freedom for the study, an integrated simulation environment using MATLAB, respectively, to achieve the inverse kinematics of robot is calculated, and the linkage to move the robot animation operations and other functions, and all functions to the form of a graphical user interface calls. The robotic simulation platform can be used as teaching and research simulation tool.)

采用平方指数平滑法对数据进行预测,可用于负荷预测等领域。(Using the square exponential smoothing method to forecast, it can be used for load forecasting. )

The principle of Huffman coding is (roughly) to replace symbols in the original data (in your case the value of each pixel of the image) by a numeric code that is attributed according to the probability of the symbol. The most probable (i.e. the most common) symbol will be replaced by shorter codes in order to realize a compression of the data.