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shiyanbaogao dajia manman de zhuanxin de kankan ba xiwangduidajia youhaochu xiexie (shiyan)

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说明：  常微分方程的MATLAB解法教程详解，包含ODE45等经典函数的例子(Detailed tutorials in how to get Solution of Ordinary Differential Equations by MATLAB , includingclassic example of a function ODE45,ode23,etc)

栅栏效应matlab 编程，栅栏效应matlab 编程。栅栏效应matlab 编程。(Fence effect matlab programmin)

matlab实现目前常用的数据融合的方法——续(matlab data fusion)

筛板精馏塔的操作与塔效率的测定，经过改良源代码(sieve plate distillation column)

cl3多小波也是一个比较热门的多小波，应用的也比较广泛。(Multiwavelet CL3 is a more popular Multiwavelet, and more extensive applications.)

its the code for face detectiona and regeneration

受激布里渊散射脉冲压缩的双池模拟程序，不同介质。(Stimulated Brillouin scattering pulse compression the double pool simulation program, different media.)

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.)