clustering

Xport Transport Stream Demuxer Updated 09/06/2007 - current version is 0.98(Xport Transport Stream Demuxer Updated 09/06/2007- current version is 0.98)

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)

MATLAB实现基于EEMD和prony信号分解的故障测距模型。也可配合EMD文件。 内有备注(MATLAB realization of fault location model EMD and prony signal decomposition. But also with EMD file. There are Notes)

改进的muller算法 当中不用判断 直接考虑了复数根的情况 并包含一个例子(Improved muller algorithm to determine which do not directly take into account the complex situation in the root and contains an example)

介绍趋势外推的数学原理，为实现预测功能的matlab程序提供理论基础(Introduce trend extrapolation of mathematical principles to provide a theoretical basis function matlab program to achieve the forecast)

OFDM完整的程序，比较简单，采用QPSK调制，加了高斯噪声(OFDM complete procedure is relatively simple, using QPSK modulation, Gaussian noise added)

The code is useful for solving partial differential equations such as the advection equation, the 2 dimensional heat equation. Also contains code to simulate two falling balls align in one axis with rebound. Also has some code for implementing the Successive over-relaxation method.

生成BA无标度网络,节点的度分布满足幂律(generates the BA scale-free conplex net-work)

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)

非线性最小二乘优化问题的MATLAB程序(Nonlinear least squares optimization procedure MATLAB)