Global-Newton-Raphson

该算法，先对协方差矩阵进行休整，然后用信息论的方法得出信号的源数，这是进行空间普估计的基础(The algorithm, first on the covariance matrix for a rest, and then used information theory methods to draw a number of signal sources, it is estimated that the basis of space S )

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)

linearized bregman 用于压缩感知中的稀疏信号恢复(linearized bregman)

该程序为全向比幅法测角程序，并给出了测角误差分析(The program is omnidirectional amplitude ratio angle measuring program, and the angle error analysis is given)

具有等式约束和不等式约束的二次规划问题，的积极集方法（有效集方法）(the active set methods for QP with equality and ineqality constrain)

该程序通过编写fortran，得到abaqus之程序usdfld，并实例分析。(The program is by writing fortran, get abaqus procedures usdfld, and case analysis.)

通过C语言，实现龙格库塔法，用四阶龙格库塔法求解一阶微分方程组。(Through the C language, the realization of Runge-Kutta method with fourth-order Runge-Kutta method for solving first-order differential equations.)

Fractional knapsack problem, Greedy algorithm

用Roe格式求解黎曼激波管问题的Fortran源代码。可以通过MUSCL插值来提高求解精度。适合计算流体力学的初学者参考学习。(Riemann shock tube problem with Roe scheme. You cam improve the accuracy by MUSCL interpolation. This code is suitable for CFD beginners.)

对该模型参数辨识采用递推最小二乘法，即 RLS（ recurisive least square）， 它是一种能够对模型参数进行在线实时估计的辨识方法。(The recursive least square method is used to identify the parameters of the model, that is, rls (recurisive least square), which is an online real-time estimation method for the model parameters)