music

Feeding antennas with proper signals can be difficult. The signal is often described as a voltage, and voltages are not well defined in electromagnetic wave formulations. There are several tricks to model voltage generators in such situations, and one is the magnetic frill. This model shows the basic steps of defining a magnetic frill voltage generator for a dipole antenna, and it also compares the resulting antenna impedance with known results.

图像空域锐化增强，用matlab分别实现Roberts、Sobel、Priwitt算子的锐化处理，以及实现拉普拉斯图像和原始图像叠加的增强处理(Image airspace sharpening, respectively, to achieve with matlab Roberts, Sobel, Priwitt operator sharpening, and achieve enhancement Laplace image and the original image overlay)

PSO和GA算法针对RBF网络优化，分别为PSO和GA的，RBF网络的程序结构给出了，只需要稍加改动即可(PSO、GA algorithm for RBF network )

kd-tree 是一种常用的数据结构，它在搜索最近点中有普遍用处。该文件是一个用纯matlab写成的源代码。(kd-tree is a commonly used data structure, it is commonly used in searches for the nearest point. The file is a pure source code written in matlab.)

This code intends to demonstrate how to use MAX6953 for message column scroll.

细菌寻优算法 对目标函数在约束条件小寻找最优值(Bacterial optimization algorithm small constraints to find the optimal value of the objective function in)

这是关于没分燃烧的udf，同学们可以借鉴，利用的是二阶矩模型(this is a combustion udf,which was using the second ju model ,you can use it for referance)

耦合影响格子序列仿真，随机性，平衡性，级多瓣分治混沌序列在cnma中的应用(Simulation of the impact of lattice coupling sequence, randomness, balance, class of chaotic sequence多瓣divided the application in cnma)

A muitistage tap filter in simulink. Phase dirtoin and phase sitortion shown in teh simulation results(A muitistage tap filter. Phase dirtoin and phase sitortion shown in teh simulation results)

基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。 (Based on least squares support vector machine theory, combined with a wind farm measured wind speed data, the establishment of a wind vector machine forecasting model of least squares support. The velocity of the wind farm were predicted in advance 1h, the mean absolute percentage error of only 8.55 of its forecast, forecast effect is ideal. While the text of the wind speed forecasting models and neural networks, support vector machines (support vector machine, SVM) wind speed prediction models were compared with established theories. Simulation results show that our proposed model on prediction accuracy and computing speed are superior to other models.)