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说明：  自己写的关于用matlab画的bezier curve的程序，可以在次基础上，添加曲线修补的功能(Ploting the bezier)

说明：  研究VC++和MATLAB编程的朋友可以看看这个程序,希望对你们有用.(Those people who research the program by VC++ and MATLAB can load it,it will benefit to you)

matlab求转子系统的额临界转速和稳定性问题的课程报告(matlab to seek the critical speed of the rotor system and the stability of course report )

Source codes used in Hidden Markov Model (HMM)

matlab仿真对采集数据进行滤波的两种方法：多次平均滤波和一阶滞后滤波的比较。(matlab simulation filtering the collected data in two ways: the average number of first order lag filter and the filter comparison.)

光纤布拉格光栅反射谱，时延和色散。对学习FBG相关谱理论还是有帮助的。(The reflection spectra and delay of FBG)

介绍了 Cohen类双线性时频分布并针对交叉干扰项影响无法完全消除的问题进行了重排时频变换以提取及分辨 含有白噪声和窄带周期干扰的局部放电信号。处理仿真和现场检测到的局部放电超声信号时根据白噪声和窄带 周期干扰信号在时域上的平稳性特性发现重排 Cohen类时频变换方法不仅可以很好地将局放信号和背景噪声以 及窄带周期干扰信号分辨开来,而且大大减弱并抑制了交叉干扰项的影响,保持了更高的时频分辨率和时频聚集 性,从而验证了重排 Cohen类时频变换方法的有效性。 (In order to express the partial discharge ( PD) information of gas insulated switchgear ( GIS) in time-frequency domain, weintroduced theCohen? s class bilinear time-frequency distribution and its reassigned time-frequency transform method to pick up and distinguish theultrasonic signals in field from the whitenoises and narrow band periodic interference signals using the acousticemission ( AE) technology. After the processing of the simulated and PD ultrasonic signals in field, and according to the stationary feature of white noises and narrow band interference signals, wedraw a conclusion that the reassigned time-frequency distribution method can not only distinguish thePD signal from back ground noises and narrow band interference signals, but also decrease and restrain the influenceof cross-items, and acquire better time )

说明：  地震勘探动校正程序，地震勘探中的常规处理(NMO code for seismic exploration, conventional processing in seismic exploration.)

该程序是计算最优潮流的matlab工具箱。可以很好的求解目标函数不同的最优潮流问题。(The procedure is the calculation of optimal power flow matlab toolbox. Can be a good objective function for solving the optimal power flow problem different.)

this is to make a triangle wave in matlab