CAIE_accompanying-code

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

单神经元PID解耦控制程序,解耦算法例子以活套系统为传递函数。(Single Neural Net PID Decouple Controller based on Hebb Learning )

Mstar 的 MST705 TCON芯片 参考源代码(MST705 source code)

matlab关于对图像进行卷积等操作的一段程序，希望有帮助(matlab about image convolution operation for some procedures, such as, I hope there is help)

使用matlab编写的crc循环码编译码仿真程序(Crc prepared using matlab simulation program coding and decoding of cyclic codes)

Regression analysis using machine learning

很好的学习材料，初学者最好的选择，希望对你们有所帮助(A very good learning materials)

MATLAB2013超级教程，包含matlab的各种功能使用方法，适合初学者(MATLAB2013 super tutorials, contains a variety of functions to use matlab for beginners)

jacobi雅克比迭代法求解线性方程组，容易计算(Solving Linear Equations by Jacobian Matrix)

Matlab公司推出的marine virtual reality toolbox，利用VRML脚本语言将船舶航行状态虚拟可视化(Matlab has introduced a marine virtual reality toolbox, using VRML scripting language to the state of virtual visual navigation)