Edxb

说明：  基于MAT LAB 的 “信号与系统” 仿真实验，希望对大家有帮助(Based on MAT LAB' s &quot Signals and Systems&quot Simulation results, we want to help)

matlab程序，计算时间差，爱好matlab编程的可以下载(matlab program to calculate the time difference, love can download matlab programming)

有关2012全国大学生数学建模竞赛论文，可以让读者提供一些方法和思路。(For papers of the 2012 National Mathematical Contest in Modeling, allows the reader to provide some methods and ideas.)

MRI脑肿瘤分割matlab代码，内面的gui要重新编译才能运行(MRI brain tumor segmentation matlab code, gui inner surface to be recompiled to run)

tpc power control algorithm in single cell

用于绘制滚动轴承故障的频谱图和包络解谱图，从而判断轴承故障(Used to draw the rolling bearing fault frequency spectrum and spectral envelope solutions, in order to determine bearing failure)

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.)

利用公式画图 BPSK、BOC的理想自相关函数，以及数字畸变自相关函数情况下的相关函数(Using the formula to draw BPSK, the ideal autocorrelation function of BOC, and digital autocorrelation function in the case of correlation function)

一个很好用的粒子群优化算法matlab源代码，用来解决单目标函数优化(A good use of particle swarm optimization algorithm matlab source code, used to solve single-objective function optimization)

此是测试用的部分代码，对于大多数而言是很好用的哦。赞一个(This is part of the code used by the test of many good Oh. Praise a)