Calculation of higher

simulink建模，为了美观，需要把输入输出信号对齐，美观，当有大量的输入、输出，一个一个对齐非常麻烦，本工具可以减小开发者的工作量。

MATLAB最优化计算，各种最优化算法例程序，非常实用。(MATLAB optimization, the optimization algorithm were all kinds of procedures, very useful.)

运用matlab的SimMechanics模块进行平面曲柄摇杆机构的仿真(The simulation using the SimMechanics module of MATLAB planar crank rocker mechanism)

基于电压源换流器的有源电力滤波器APF和静止无功发生器SVG的PSIM仿真模型(PSIM simulation model of APF and SVG based on voltage source converter)

使用传统的几种算法来形成自适应波束，包括最大信噪比准则（MSNR），线性约束最小方差（LCMV）和最小均方误差准则（MMSE）等。(The traditional algorithms are used to form adaptive beams, including maximum signal-to-noise ratio (MSNR), linear constrained minimum variance (LCMV), and minimum mean square error criterion (MMSE).)

prony工具箱用于对信号进行prony分析，(We have designed a software tool in MATLAB, the Prony Toolbox, to perform Prony analysis. Prony Toolbox (PTbox) is designed based on several considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.)

A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signicant colors, a prepro- cessor for content-based query systems. A 512  512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate(A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c)

通过MATLAB仿真来讨论比较二元霍夫曼编码、三元霍夫曼编码以及信源扩展编码的效率，来实现霍夫曼码的优化构造(By MATLAB simulation to compare two yuan Huffman discussed, ternary Huffman coding and source coding efficiency extended to achieve optimization of Hoffman Construction Code)

This code for Embedded for Sumo Bot (sensor)

本代码为自己编写的SAD算法，通过blackcar序列验证了算法的正确性。(I have written the code for SAD algorithm, blackcar sequences show that the algorithm is correct.)