Apriori

说明：  matlab教科书第十章程序实例，内涵45个程序，绝对实用，程序中都有中文注解(Chapter textbook example matlab program, meaning the 45 procedures, the absolute utility, the program has Chinese comments)

matlab中cart决策树源代码，用于数据的分类和预测。(source code in matlab cart decision tree for data classification and prediction.)

Compute resonances of a one-dimensional piecewise-constant potential.

基于simulink的现代通信系统仿真。很好的仿真源码！ ( Simulink-based simulation of modern communication systems. A good source of simulation! )

ISAR成像 包络对齐采用相关法对齐，相位聚焦采用多普勒中心跟踪法 和秩估计法(ISAR imaging envelope alignment using correlation method align phase focusing using the Doppler centroid tracking method and rank estimation method)

采用四参数生成法自动生成多孔介质(二维)，优化了出现独立单个节点、实体内部出现孔洞的问题(Four-parameter generation method automatically generates a porous medium, optimize the emergence of an independent single node, hole problems arise internal entities(2D))

MIMO Capacity versus antennas

用Matlab读入MIT-BIH-DB心电数据(Using Matlab read MIT-BIH-DB ECG data)

针对双基阵提供的有偏方位角量测信息,对双基阵纯方位目标可观测性的必要条件及其Cramer-Rao下限 进行了理论推导.在此基础上,采用一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进,并在可观测条件下对 目标进行了蒙特卡洛仿真实验.实验结果表明,新的辅助变量方法可以使参数估计精度大大提高,并且上述理论对制 定实际的跟踪策略或算法具有一定的参考价值 (For double-base matrix provided biased information azimuth measurement of double-base bearings-only target array may be a necessary condition for observability and Cramer-Rao lower limit of the theoretical derivation. On this basis, a new auxiliary variable method of double-base bearings-only tracking array to improve performance and can be observed under the condition of targets Monte Carlo simulation. The experimental results show that the new auxiliary variable method can greatly improve the accuracy of parameter estimation and the formulation of the above-mentioned theory tracking the actual strategy or algorithm has certain reference value)

说明：  运用Matlab中的一些基本矩阵计算方法，通过自己编程实现聚类算法，在此只讨论根据最短距离规则聚类的方法。(The use of Matlab, some of the fundamental matrix method, clustering algorithms, through their own programming, in which only discuss the rules under the shortest distance clustering method.)