WaveletPacketSignatures

用matlab做仿真，设计了一个FIR滤波器，详细见说明文档和程序的详细注释(Using matlab to do simulation, we designed a FIR filter, detailed documentation and procedures, see the detailed notes)

johnson-cook理论的umat程序，此程序可以带入abaqus，然后计算应力(johnson-cook umat code)

串联模糊PID，搭建模糊PID框架，并与普通PID对比，演示模糊控制特点(Series fuzzy PID, fuzzy PID frame structures and contrast with the ordinary PID, fuzzy control features demo)

此为灰色模型里的二次拟合预测GM(1,1)模型(This is a grey model of quadratic fitting prediction GM (1, 1) model)

利用小波变换极大值，重建源信号。包含主程序和三段子功能函数，使用小波变换进行六级分解，求出模极大值，并利用这些极大值重建源信号。(Using the wavelet transform maximum and reconstruction of source signals.Contains the main program and three jokes functions, six levels of decomposition using the wavelet transform and modulus maxima, and take advantage of these great value reconstruction of source signals.)

说明：  本程序产生一个目标不断下移的图像数据并将其保存到文本文件中。可以用于目标跟踪中的图像输入。(create a picture data and save it to a txt file/)

in this discussion is about the electrical technology how it is changing day by day

1、熟悉LTE网络体系架构及接口； 2、掌握DBS3900单站数据配置整体流程； 3、掌握DBS3900单站全局数据配置步骤； 4、掌握DBS3900单站全局传输数据配置命令及参数含义； 5、掌握DBS3900单站无线层数据配置命令及参数含义； 6、理解BBU LMPT单板电口IP至MME IP地址对应意义（指向控制面--SCTPLNK）； 7、理解BBU LMPT单板电口IP与S-GW IP地址对应意义（指向用户面---IPPATH）； 8、理解扇区、小区的概念及二者的关系、 9、会将MML命令行制作成脚本数据。 ( A familiar LTE network architecture and interfaces 2, master data configuration DBS3900 single station overall process 3, master DBS3900 single station Global Data configuration steps 4, master DBS3900 single station global configuration commands and parameters of data transmission meaning 5, master data DBS3900 single station radio layer configuration commands and parameters meaning 6, understanding BBU LMPT board electrical interface IP to the MME IP address corresponding meaning (pointing control surfaces- SCTPLNK) 7, understanding BBU LMPT board electrical interface IP and S-GW IP address corresponding meaning (pointing to the user plane--- IPPATH) 8, understanding the sector, community and the relationship between the concepts, 9, will be made ​ ​ into MML command line script data.)

In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done on MRI image followed by Segmentation. During pre-processing, MRI is first converted into gray scale image then salt and pepper noise is removed using median filter. Image is then enhanced using Histogram Equalization then Image segmentation is performed on image. In image segmentation, image is segmented into its constituent parts. In this way, brain tumor is detected.

说明：  应用计算C6环烷烃的动力学参数，例如，反应级数以及动力学常数(obtain the reaction order and kinetics constant of C6 naphthenic hydrocarbon )