EKF_UKF_PF_EKPF

计算基尔霍夫近似下镜面与非镜面的反射系数，同时得到距离散射点2米的接收功率(Calculation Kirchhoff approximation of specular and non-specular reflection coefficient, while the reception power obtained from the scattering points of 2 meters)

说明：  基于单位功率因数控制策略的单相有源滤波，去掉非线性负载部分即为单相全控整流。开关器件采用IGBT。(Based on the unity power factor control strategy of single-phase active power filter, remove the part of non-linear load is the single-phase full-controlled rectifier. Switching device IGBT.)

分析两时间序列之间的超前和之后关系，计算滞时长度，多用于水文气象方面分析研究(Analysis ahead of and after the relationship between the two time series, calculating the lag length, used for the analysis of hydrometeorological)

针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。(To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method)

用分离变量法求得波动方程傅里叶级数近似解，改程序可画出示功图(Wave equation is obtained by separation of variables method Fourier series approximation solution, the app can show the indicator diagrams)

本书由美国数学大师大师编写的数学计算这本书，很经典。国内的书编写残次不齐(This book is authored by American mathematician Mathematical calculation ,It is a good book)

最小二乘估值的SVD分解计算方法，本程序可将最小二乘估值问题转化为超定方程组的问题处理，且可用奇异值分解的方法计算最小二乘问题。(Least Squares Estimates of the SVD decomposition method, the valuation process can be transformed into squares overdetermined equations deal with the problem, and can be calculated singular value decomposition least squares problem.)

用于利用最大熵法求解数据资料服从的分布类型。并应用最小二乘法求解模型以得到最优解(Using the maximum entropy method for solving the data distribution type of obedience. And apply the least squares method to obtain the optimal solution to solve the model)

支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。(Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension problem, the neural network method to overcome the slow convergence, solution instability, bad promotion of sexual shortcomings, in recent years has been widely studied, at pattern recognition, signal processing, control, communications, etc. has been widely applied.)

线接触滑块润滑，基于有限差分法，采用的是中间差分的方法，求解油膜厚度(Line contact slider lubrication, based on the finite difference method, using an intermediate difference method for solving film thickness)