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目标相对各子阵中心的方位角和俯仰角，在后面为了验证程序正确与否，只用了第一阵 即第一列数据进行计算，是四元十字阵(Goal of the relative center of the subarray azimuth and pitch angle, in the back of the verification process in order to correct or not, only the first burst of the first column of data that is calculated Quaternion Cross Array)

图论，最小费用最大流法. 一种数学建模的实用方法，对你的比赛，和应用很有帮助(The method of graph theory, the minimum cost maximum flow.A good mathematical modeling tool, It is very helpful to your study MATLAB)

对数组中的样本，进行异常样品剔除的方法。(The array of samples for anomalous samples removed approach.)

三分matlab基础文档，三本比较经典的书籍。中文。侧重点不同。(Matlab third base document, three more classic books. Chinese. Different focus.)

Oppenhime and liem papre in transaction journal

使用C++语言编写的FastICA算法，并附带有Matrix类。(Use C++ language FastICA algorithm, together with the Matrix class.)

通信系统中的天线选择，包括信道的搭建，功率的分配。(Antenna selection in a communication system, including the allocation of the channel structures, power.)

针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快(Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly)

This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.

Write a MATLAB function lls_rd.m (rd stands for rank de… cient) to solve the LLS problem