hot-procssing-map

to judge points in a polygon

时间序列预测算法。支持5种常见的算法 移动平均 非线性回归 指数平滑等(ar, ardemo ma)

用C语言实现解决约瑟夫问题的一种方法，也许会对他人有启示。(C language implementation with a way to solve the problem, Joseph, and perhaps others, would be revealing.)

这是一段杆塔建模的命令流，可用于ansys有限元分析(This is a tower of order flow modeling, finite element analysis can be used to ansys)

计算同轴电缆的时域有限差分算法的matlab程序(Finite-difference time-domain algorithm matlab program calculated coaxial cable)

使用matlab实现智能预测控制算法，分数阶傅里叶变换计算方面,实现了图像的加水印，去噪，加噪声等功能。( Use matlab intelligent predictive control algorithm, Fractional Fourier transform computing, Realize image watermarking, de-noising, plus noise and other functions.)

有限差分法求解欧拉方程，weno有限差分法求解欧拉方程。(Euler solved with weno)

FFT源代码 FFT源代码 FFT源代码(FFT source code FFT source code FFT source code)

AFD（自适应傅立叶变换）的matlab实现代码(the matlab code of AFD algorithm)

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)