random_tour_node

我确实认为这个程序还是非常实用的，对大家肯定很有帮助。(I really think this procedure is still very useful, the U.S. certainly helpful.)

说明：  fastICA的源程序，希望喜欢的下载交流 (err)

使用matlab编程，图论最短路线的Ford迭代算法、Dijkstra算法和Floyd算法(Ford shortest graph theory iterative algorithm)

fisher，用于判别，用于分类，功能很强大，操作很简单(using fisher for determining, for classification)

VMD方法是在传统维纳滤波的基础上，提出的一种非递归自适应信号分解新方法。与EMD方法和LMD方法相比，VMD方法分解的信号，具有精度高、收敛快和鲁棒性好等特点，适用于处理滚动轴承故障信号。(The VMD method is a new non recursive adaptive signal decomposition method based on traditional Wiener filtering. Compared with the EMD method and the LMD method, the signal decomposed by the VMD method has the characteristics of high precision, fast convergence and good robustness. It is suitable for handling the fault signal of rolling bearing.)

循环冗余校验CRC (Cyclic Redundancy Check)码是由分组线性码的分支而来，其主要应用是二元码字。编码简单且误判概率很低，在通信系统中得到了广泛的应用。循环冗余校验码是属于分组码中的一类重要的线性码，它不仅在理论上具有很好的代数结构，而且其编码和译码可以通过线性移位寄存器很容易地实现。 通过对CRC的分析和基于MATLAB工具的仿真，充分证明了CRC的检错能力很强，编码简单。 (Cyclic Redundancy Check CRC (Cyclic Redundancy Check) code is a linear code from the sub-branch from the main application is the binary code word. Coding is simple and very low probability of miscarriage of justice, in the communication system has been widely used. Cyclic redundancy check code is a block code in one important class of linear code, which not only has good in theory, algebraic structure, and its encoding and decoding of linear shift register can easily realize . CRC through analysis and simulation tool based on MATLAB, and fully proves that the CRC error detection ability of a strong, simple coding.)

基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)

说明：  矩阵的LU分解 PLU分解 以及平方根分解(LU decomposition of the matrix square root PLU decomposition and decomposition)

具有丰富的参数选项,基于欧几里得距离的聚类分析，非归零型差分相位调制信号建模与仿真分析 。( It has a wealth of parameter options, Clustering analysis based)

Model Predictive Control Traker. matlab File