BHATPID_new

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．)

A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.

主要介绍主分量分析，怎样提取主要特征来重构原始信号。(Introduces the principal component analysis, extracting the main features of how to reconstruct the original signal.)

To construct all type of filters for the category of hamming, hanning e.t.c.

混沌的判断指标Lyapunov指数计算的matlab程序。(Chaos Lyapunov index calculation to determine indicators of the matlab program.)

Gnuradio 中MIMO系统的实现与Gnuradio安装向导(In the MIMO system to achieve Gnuradio)

公交车调用模型用神经网络算法解决公交车调用的问题(The bus call model USES neural network algorithm to solve the problem of bus call)

PV USEFULL FOR ANY SYSTEM

Fully informed particle swarm optimization for optimizing a general function.

说明：  对经验模态分解后的各分量IMF进行重构代码，函数可直接调用。(After the empirical mode decomposition, IMF reconstructs the code, and the function can be called directly.)