readHY2_SWH_bat

matlab编写的用于插值和拟合的源代码(matlab interpolation and fitting for the preparation of the source code)

说明：  BP神经网络（主要用于函数拟合与模式分类）Matlab的示例程序(BP neural network (the main function for the fitting and pattern classification) Matlab sample program)

it much easier to vary the parameters and see the results, but the underlying mathematical principles are unchanged. It shows that using polynomials of even modest degree to predict the future by extrapolating data is a risky business.

INS和GPS基于位置速度的松组合程序，已经验证了，滤波收敛，程序中说明了如何选取滤波参数(INS/GPS integrated navigation ，Kalman filter，loosely integrated based on position and velocity)

从曲线中检测到其峰值：先利用二次求导得到所有凸点，设置门限，去除过低的凸点，然后利用滑动窗的方法，在凸点中求得满足峰值要求的点(Detected from the curve to its peak: the first use of the second derivative method to get all the bumps, set the threshold too low to remove the bumps, and then use a sliding window, obtained in a bump to meet peak requirements of point)

通过AR模型模拟得到风荷载，其模拟是有davenport风速谱得到的(Wind load is obtained by AR model simulation, which is based on Davenport wind speed spectrum.)

empirical modelling for processs control with deat time

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：  MATLAB矩阵及其运算变量和数据操作 MATLAB矩阵 MATLAB运算矩阵分析(MATLAB matrix and its variables and data manipulation operations MATLAB Matrix Matrix Analysis MATLAB computing)

This is a clock recovery matlab code. This file is using a 4-PAM signal shape and the recovery method is DD recovery method. This file is a mfile.