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Arnold变化~~~matlab 含逆变换及周期计算(Arnold)

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Linear filters process time-varying input signals to produce output signals, subject to the constraint of linearity. This results systems composed solely of components (or digital algorithms) classified as having a linear response.

In this directory, we can find the eleven files. The relationship between file name and the number of program written in the book is shown in as follows.

基于最小均方误差的最小二乘滤波器的设计算法(Based on the minimum mean square error of the least squares filter design algorithms)

Designing a Fuzzy Rule Based Expert System for Cyber ...

说明：  For load flow analysis of an interconnected power system

fdtd算法一维自由空间没有吸收边界的源代码(1D FDTD simulation in free space Without Absorbing Boundary Condition)

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.)

说明：  本程序是用matlab开发的扩展Kalman Filter(this procedure is used Matlab development of the extended Kalman Filter)