pmsm_ideal

this program will evaluate the fdtd solution for the scattering problem

利用matlab控制3维仿真软件sonnet的工具箱，里面包含了详细的试用说明PDF，还有一个微带天线的例子，使得对天线的设计变得简单。(Using matlab to control 3-D simulation software sonnet Toolbox, which contains a detailed description of the trial PDF, there is a microstrip antenna example, makes the simple antenna design.)

利用matlab工具对于QPSK系统进行完整的仿真，对于深刻理解系统仿真有帮助，且包含很多分析，比较易懂(QPSK systems using matlab a complete tool for the simulation of a deep understanding of system simulation for the help, and contains a lot of analysis, is easier to understand)

OSCAR is an optical FFT code used to calculate the steady state optical field circulating in Fabry Perot cavities. The code can integrate non-sperical mirrors and any arbitrary input fields. Recent applications for OSCAR have been: calculation of thermal lensing effect and calculation of diffraction loss and cavity eigen modes for mesa beams. One great advantage of OSCAR is the simplicity and exibility of the code, everyone with only minimal knowl- edge of Matlab can easily modifed OSCAR code to suit specfic purposes.

研究生毕业设计fcm水印程序处理 应用小波 模糊处理(Graduate program designed to deal with the application of wavelet watermark fcm obfuscate)

Changed in hostfs_args before the kernel starts running.

计算瑞雷波频散曲线GUI小程序，matlab写，内含使用说明(Rayleigh wave dispersion curves calculated GUI applet, matlab write, containing instructions for use)

说明：  一维等离子体FDTD的Matlab源代码，是时域有限差分算法中的重要算法(One-dimensional FDTD the Matlab source code for plasma, FDTD method is an important algorithm in)

1D FDTD Simulation with Matlab

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.)