python 程序

有限元法求解泊松方程，用matlab编写的计算程序(Finite element method for solving Poisson)

说明：  半桥LLC详细设计流程。包括自己设计的和别人设计的参考(detailed design of half bridge LLC)

改进的burgers模型，非常适合学习UMAT的同志们学习，来自廖公云老师的《ABAQUS有限元软件在道路工程中的应用》(Improved burgers model is ideal for learning UMAT comrades learn from Liao Gongyun teacher "ABAQUS finite element software road works)

基于配电网络辐射型的前推回代潮流计算程序，包括分层等内容(And backward substitution based on the radiation type of distribution network before flow calculation procedures, including the contents of the stratification)

说明：  Dsimplex.m 对偶单纯形法求解线性规划问题(Dual simplex method for solving linear programming problems)

branchbound就是所谓的分支定界算法，应用于动态规划解决实际问题(branchbound is called the branch and bound algorithm applied to the dynamic programming to solve practical problems)

实现卡尔曼滤波算法，可以进行参数估计、插值、滤波和预报(The Kalman filter algorithm, parameter estimation, interpolation, filtering and prediction)

fortran code for LINEAR_WAVE PROPAGATION by forward time forward spase method.

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)

我自己用c语言写的64点基4FFT算法，在visual c++ 6.0环境下编译通过。同matlab结果一致。(My own use C language to write the 64 based 4FFT algorithm, in visual c++ 6 compiler environment through. Results consistent with matlab.)