平滑处理

#include <iostream.h> int main() { int i(0),sum(0) while (i<=100) { sum=sum+i ++i }cout<<"sum="<<sum<<endl return 0； }

This is grover search.

OFDMA系统上行链路频偏估计得仿真代码。(Frequency Offset Estimation for OFDMA uplink system simulation code was.)

这是一个关于基于VCSOA的光开关的仿真程序。仿真程序基于传输矩阵法设计的，将整个器件在轴向按折射率的不同分成很多层。计算了在外部抽运（即泵浦，加在放大器上的工作电流）呈现周期性变化时，放大器将输出一系列的光脉冲，即光开关。 ( This is a simulation package for computing the characteristics of the VCSOA when acting as an optical switch, which is designed based on TMM( transfer matrix method). The whole device is splitted into many segments in the axis direction according to different index. When the external pump is a periodic signal, the output of the VCSOA would be a pulse train, which can be used as optical switch. )

Clark变换与Inv_Clark变换，引入输入信号进过测试能够实现功能(Clark and Inv_Clark)

熵权法求权数，是matlab直接可以使用的熵权法函数，适用于各种求权情况(Entropy weight method is a function of entropy weight method directly used by MATLAB, which is suitable for all kinds of claims.)

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

DSB的调制与解调MATLAB下的系统仿真(DSB modulation and demodulation system simulation under MATLAB)

this is asimple matlab file....

Simulation model for solving the load flow problem