Gear

（1）通过Simulink创建仿真模型；（2）配置Simulink模型相关参数；（3）通过C语言调用C Engine API，控制模型的运行，并进行结果分析；（4）掌握Simulink模型在分布式仿真环境中应用的要点与方法。 ((1) created by Simulink simulation model (2) configuration parameters of Simulink models (3) by C language called C Engine API, the control model run, and the results of analysis (4) control in a distributed simulation environment Simulink model points and methods of application.)

粒子滤波在目标定位与跟踪中的应用，适合于非线性滤波算法研究。(Particle Filtering in target location and tracking application, suitable for nonlinear filtering algorithm.)

一个永磁同步电机无传感器文章里面含有滑模控制和卡尔曼滤波(A permanent magnet synchronous motor mathematical model)

使用小波分解进行图像分析，并以此进行纹理图像的分割(Using wavelet decomposition for image analysis and texture image segmentation as)

说明：  通过求矩阵特征多项式的根来求其特征值 幂法求矩阵的主特征值及主特征向量 瑞利商加速幂法求对称矩阵的主特征值及主特征向量 收缩法求矩阵全部特征值 收缩法求矩阵全部特征值 位移逆幂法求矩阵离某个常数最近的特征值及其对应的特征向量 QR基本算法求矩阵全部特征值 (Characteristic polynomial by the root of a matrix to find the eigenvalues ​ ​ of a matrix power method and the main characteristics of the main features of the value of acceleration power vector Rayleigh quotient method Symmetric Matrix Eigenvalue and the main characteristics of the main vector of contraction method to shrink the value of all the characteristics of a matrix Law of the value of all the characteristics of a matrix inverse power law shift away from a constant of a matrix eigenvalue recently and its corresponding eigenvector matrix QR algorithm for getting all the characteristics of the basic values)

广义交叉验证函数(GCV) 广义交叉验证函数是用随机的方法对于一个给定的值A的正则化参数的计算。(Generalized cross-validation function (GCV) generalized cross validation function is stochastic method for a given value A regularization parameter calculations.)

多天线人之中继网络的研究，很好的一篇论文，我自己受益匪浅(The multi-antenna relay network of people, very good paper, I benefited)

OVERLAP ADD METHOD FOR CALCULATING THE CONVOLUTION OF LONG SEQUENCE

用matlab实现EM算法，进行聚类分析。-(EM algorithm using matlab realize, cluster analysis.-)

说明：  (径向基函数)神经网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等(rmf netural network matlab)