lijisuan

编制了theta映射法的ansys蠕变子程序(a creep subroutine of ansys that considered the theta-projection method)

maple学习资料，以后学习maple就不用担心了(maple learning materials)

由Music算法估计线阵波达方向，搜索频谱波峰。(Estimation of linear array DOA by Music algorithm, searching spectral peak.)

this is fft header file for fast fourier transform. with this file, you can compute frequency spectrum zero to tow pi.

IEEE14节点接入一个风电场的牛拉法潮流计算MATLAB程序（含线路和风电机组的参数），里面有注解，方便理解。(IEEE14 Nodes System connected to a wind farm cattle MATLAB rafa power flow calculation (including lines and the parameters of the wind turbines), there are annotations, easy to understand)

插值、拟合与规划问题 插值、拟合与规划问题(Interpolation, fitting with the planning of interpolation, fitting and planning issues)

用C语言编写的Fluent UDF实例，包含Adjust宏，profile宏等八个实例教程，快速上手(The UDF is for computational fluid dynamics software Fluent, it concludes the Profile.c,the Adjust.c)

采用dsp产生lorenz信号，以用于混沌保密通信，程序在ccs下调试并通过(using dsp have lorenz signal to be used in chaotic secure communications, Under procedures in ccs through debugging and)

说明：  三次样条插值的MATLAB程序（三弯矩方程）(Cubic Spline Interpolation MATLAB (3 Moment equation))

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)