kalman1

经验模式分解EMD是将任意信号分解为本征模式函数组成的新方法，建立了以瞬时频率表征信号交变的基本量(The new method is empirical mode decomposition EMD any signal decomposition intrinsic mode functions that establish the basic amount to characterize the instantaneous frequency of the alternating signal)

Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm.

matlab常用算法集锦，包括各种微分方程求解方法及函数、矩阵、随机数的求解(matlab commonly used algorithm highlights, including a variety of differential equation solving methods and functions, matrix, random numbers to solve)

Euler _ Matlab Code

时间域有限差分法（TD-FDM）源代码，用于计算任意传输线问题，最后与理论解比较。进一步说明见程序文件timeUpdt.m(Time domain finite difference method (TD-FDM) source code, used to calculate the arbitrary transmission line problems, and finally compared with the theoretical solution. Further details see the program file timeUpdt.m)

这个身重要，基于matlab的三维时域有限差分程序（UPML各向异性的完美匹配吸收层），使学习时域有限差分方法的好资料。(The body important matlab-based three-dimensional finite difference time domain procedures (UPML anisotropic perfectly matched layer), enabling learners to FDTD good information.)

基于matlab的DSP（数字信号处理）学习资料(Matlab based on the DSP (digital signal processing) study data)

使用了JIT的高效的k均值算法，因为使用了JIT加速，所以在统计工具箱下，比一般的k均值要快许多(Efficient K-Means using JIT (Matlab code) This code uses the JIT acceleration in Matlab, so it is much faster than k-means in the Statistics Toolbox. It is very simple and easy to read. )

局部近似Taylor Series Expansion，全局近似Interpolation(Taylor Series Expansion，and Interpolation)

针对防空作战中空中目标航迹预测的问题,提出一种基于灰色理论的空中目标航迹预测方法.该方法通过建立等维新息残差修正GM预测模型,实现了航迹的实时在线预测,从而提高了预测精度.(method for predicting aerial target tracks in air defense warfare was put forward based on grey theory．establishing the predicting GM model of corrected residual error，on—line prediction of the target track could be realized in real time，and thus could improve the prediction precision.)