idvqyukp

高阶谱估计的函数方程,很有用处,用于检测被高斯信号淹没的信号(higher order spectral estimation function equation, useful for the detection of Gaussian signal was submerged signal)

这是线形系统理论中的同步混沌问题 虽然很简单 但有利于我们理解混沌的内容及方法(Chaos of MATLAB problems about line system )

Comaparacion de filtros en timepo real

: 针对实际振动位移难以获取的问题, 利用振动位移与加速度信号之间的关系, 先对采样后的加速度信 号采用时域数值积分,得到含有趋势项的速度信号及位移信号,再采用拟合多项式极值的方法, 消除积分过程 中产生的趋势项,从而得到更为精确的速度和位移信号. 算例表明, 利用拟合多项式极值消除趋势项的方法, 得到的位移时程曲线拟合精度高(: In pract ical engineering , the collection of displacement data is mo re dif ficult than that of the acceleratio n data in the time-domain .Displacement sig nals w as g ot f rom acceleration s ignals using aumerical integrat ion , wi th the t rend o f erro r. Poly nomial fit ting method o f ex t reme value to eliminate the trend of erro r w as proposed . More precise di splacement data can be acquired f rom thi s algo rithm. The example show s that thi s alg orithm can get hig h accuracy displacement data f rom the acceleration data mo re easi ly .)

书籍《精通MATLAB GUI》 光盘的内容.rar 需要的朋友就下载吧(Proficient in MATLAB GUI CD-ROM content. Rar needs a friend to download the Bar)

基于功率谱相减法的语音消噪，采用动态阈值法(Power spectrum subtraction based denoising of speech using dynamic threshold method)

计算配电网是否满足的辐射状约束,可以作为配电网重构的其中一个约束。(Calculated radial distribution network meets the constraints)

stap 空时自适应信号处理仿真程序，主要仿真杂波协方差矩阵，改善因子(stap)

永磁同步风机仿真实例，可用于实际工程算法和研究学习(Permanent magnet synchronous wind turbine simulation example, the algorithm can be used for practical engineering and research learning)

用Argo的netCDF文件计算海洋混合层和障碍层深度并通过M_Map工具包画出全球海洋MLD和BL的分布图。 P.S.: 1.需先安装m_map的toolbox。2.混合层及障碍层的定义参考Clément de Boyer Montegut, et al. "Mixed layer depth over the global ocean: An examination of profile data and a profile‐based climatology." Journal of Geophysical Research: Oceans 109(2004).(Use netCDF file to calculate the mixed layer and barrier layer and draw the global distribution figures with m map in matlab 1Please install m_map toolbox first 2The definitions of mixed layer and barrier layer used is provided by Montegut, et al 2004: Mixed layer depth over the global ocean: An examination of profile data and a profile based climatology.)