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此程序绘制出QAM经调制，模拟高斯信道干扰后，解调之后的眼图(This program draws QAM modulated analog Gaussian channel interference, after demodulation eye diagram)

偏振图像目标识别算法，根据四个方向的偏振信息，识别目标，内含偏振图片(Polarization image target recognition algorithm, according to the four directions of polarization information, identify targets, containing polarizing picture)

说明：  很不错的列子哦 详细的 可以来问我了 我的 点撒谎的哈偶家啊复旦复华而阿富汗 (Liezi Oh very good detailed question can come to my point I lie ah偶家Kazakhstan and Afghanistan Fudan Fuhua)

说明：  基于matlab的子程序，可以进行任意通信信号的升余弦滤波(Subroutine based on matlab, any communication signals can be raised cosine filter)

Feature tracking using KLT function

基于EEMD的全质心UWB室内定位算法结合了EMD算法的改进版(UWB indoor location algorithm based on EEMD)

遗传算法优化的极限学习机模型 采用水仙花基本特征数据集 效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)

Plotting some (row) curves with spaced markers and legend.

对解列的一个网络，判断出其子系统的个数及每个子系统的节点及其支路(For splitting a network, determine the number of its subsystems and each subsystem node and branch)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)