Dijkstra

支持向量基预测的小数据量的预测方法。包括数据拟合，多项式预测等功能()

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)

三角形网格划分, 自由网格和结构网格划分，包括主要的matlab文件和函数，使用main.m 执行(mesh triangle grid using matlab, free mesh and structured mesh. The file include mfiles and functions. The program could be run through main.m)

数值计算资料 13个独立的实验，涉及矩阵、微积分、统计等等(numerical calculation)

羊与狼的故事...主要实现狼进入若干羊圈后，寻找最后所有羊圈中剩余的狼和眼数目( the wolf and sheep)

说明：  fractal compression using wavelet

求给定矩阵的逆矩阵和行列式值。已经经过测试，与matlab做了对比，计算结果可靠(Seeking a given matrix inverse matrix and determinant value. Has been tested with Matlab contrast, reliable calculation results)

递推最小二乘法，辨识模型参数。。。。。。。。。(Least square method model identification)

new robot search algorithms

实现了bch编码，基于有限域多项式除法,自己动手写的，大家可以看下(Based on division in galois field，relize the BCH code )