DSPview4

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 。)

msk Differential modulation and demodulation. Delete the differential encoding, it would be msk direct modulation and demodulation. I hope it would be uesful for you.

应用于三电平的基于g-h坐标系的SVPWM算法，相比于传统的SVPWM算法，计算量大大减小了。(Applied to the three-level SVPWM algorithm based gh coordinates, compared to traditional SVPWM algorithm to calculate is greatly reduced.)

马尔可夫链蒙特卡罗（MCMC）入门学习资料，包括MetropolisSampling、Metropolis-Hastings Sampling、Gibbs Sampling。包含文档以及对应的程序！选自2011年MarkSteyvers的Computational Statistics with Matlab(MCMC)(MCMC learning materials of Computational Statistics with Matlab(MCMC) by MarkSteyvers, 2011)

说明：  用牛顿下山法求解方程：下山因子在计算过程中可以变动，一般选择下山因子时从1开始，逐次将减半进行试算，直到能使下降条件成立为止。若当计算到某步时取不到满足要求的值（或值小到无法容忍），这时称“下山失败”，需要另取初值重新算起。(Descent method with Newton' s equation: down factor in the calculation process can change, usually selected from the 1 start down factor, will be halved for successive spreadsheet until the can down the conditions established. If when calculating the time to take a step not meet the requirements of the value (or values ??too small to tolerate), then the &quot down failed&quot , you need an alternative initial re-counting.)

matlab 拉 普 拉 斯 算 子 代 码(matlab laplacian detector)

这是一个模式识别中关于主成分分析的特征提取的matlab源码 (This is a pattern recognition principal component analysis on the feature extraction matlab source)

Permanent magnet synchronous motor parameters, structure, performance design process.

用Matlab实现的LDPC编码程序，希望对大家有用(Matlab achieved with LDPC coding procedures, we hope to be useful)

说明：  利用matlab解海伦方程并画出电流分布图(solutions using Matlab and paint Helen equation current distribution plan)