Bitplanedecomposition(matlab)

比较齐全的hht算法的程序，可以进行谱峭度分析，选取峭度最大的分量，求其包络谱，能够明显看出特征频率，比较实用。(A more complete algorithm of HHT algorithm can carry out spectral kurtosis analysis, select the largest component of kurtosis, and find its envelope spectrum, which can clearly see the characteristic frequency, and is more practical.)

利用matlab开发平台和相关的SVM优化工具箱,及OAO,OAA,BSVM2算法模型,设计改进并实现非线性的模式分类实验模型系统.(Matlab use development platform and related optimization toolbox of SVM, and OAO, OAA, BSVM2 algorithm model, designed to improve and to achieve non-linear model of the pattern classification system.)

ROC计算方法,最大似然估计方法计算曲线的ROC(Maximum Likelihood Estimation of a Binormal ROC Curve)

统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法， 但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这 一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自 多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和 仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附 加的计算量小等优点。(Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with low calculation load added and higher precision 。)

说明：  实现了无需水平集重新初始化的水平集演化，速度有极大提高(Achieved without re initialize the level set evolution, the speed greatly improved)

使用matlab实现对偏微分方程的有限元法求解。(Using the finite element method matlab realize partial differential equations.)

leach algorithm in simplfied way

定位算法中泰勒级数迭代，其是以最小二乘法为初值的算法(Taylor series iterative positioning algorithm, which is based on least squares algorithm for the initial value)

用guide编的matlab界面,可以点击图像任意位置截取一小块(Guide prepared by the matlab interface, you can click the image anywhere on the interception of a small piece of)

CS—MIMO雷达参数估计的关于双基地雷达的一个典型范例(CS-MIMO radar parameters estimated a typical example of the bistatic radar)