mcmcstat

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)

matlab三维曲面/网线图指令，用曲面图表现函数。(Using surface figure performance function )

Indexing object properties by signed numerical literals.

forming of a signal, GLONASS system, coherent reception, graph autocorrelation, crosscorrelation function, bit-error probability[SNR]

使用粒子滤波的matlab的实现，可以跟踪目标(Particle filter )

信道编码线性分组码hamming码的编码器译码器设计与仿真实现。(channel coding linear block code hamming yards Encoder Decoder Design and Simulation.)

说明：  使用蒙特卡罗方法计算n维球体的体积，很有趣的程序(An interesting program for calculating the volume of n-dimensional spheres by Monte Carlo method)

This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.

霍夫曼编码的MATLAB实现运行时需要自己添加变量值(Huffman coding to achieve run-time MATLAB need to add the variable value)

说明：  很好的讲述了matlab的基础知识，使你可以更好的学习、入门。欢迎大家学习与交流。(Good about the basics of matlab, so you can better learn, get started. Welcome to the learning and exchange.)