DYNT

独立成分分析（ICA）是最近开发的方法，它的目标是找到一种nongaussian等数据的线性表示 该元件是统计独立的或尽可能独立。应用包括信号特征提取与分离数据的基本结构。 在本文中，我们提出的基本理论和ICA的应用，以及我们对这个问题的近期工作。(Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation. In this paper, we present the basic theory and applications of ICA, and our recent work on the subject)

The program simulates alamouti s code with abitrary no.s of rx. Performance analysis can be drawn. (BER vs SNR)

DJIKSTRA ALGORITHM IMPLEMENTATION

卡农 音乐程序，用matlab编写的，根据蜂鸣器的频率发音，可以自己再编写其他曲目(Canon music program, written using matlab pronunciation buzzer frequency you can re-write other tracks)

地球物理勘探中重力资料解释的主要目的是由地表观测值推断地下可能存在的密度分布。众所周知,任何一组重力数据都可能由无数个密度分布所引起。即使假设了重力异常是由具有均匀密度差的单一地质体产生的,也得不出唯一的解。画图(Gravity geophysical exploration data interpretation main purpose is inferred from surface observations may exist underground density distribution. Is known, any set of data may be provided by gravity density caused numerous. Even assuming that the gravity anomaly is determined by having a uniform density difference arising from a single geological body, they have no unique solution. Paint)

根据三容水箱对象本身的特性，采用带遗忘因子的辅助变量最小二乘法对其CARIMA模型参数进行了辨识，并基于辨识所得到的参数模型，用广义预测控制方法对三容水箱的液位进行了控制。实验结果表明，采用此模型的广义预测控制算法有良好的控制效果。(According to the three characteristics of the object itself- tank, using an auxiliary variable with forgetting factor least squares model parameters were CARIMA its identification, and identification of the resulting model parameters based on generalized predictive control method for three- tank liquid level control. Experimental results show that this model is generalized predictive control algorithm has good control effect.)

rls_AR_pred.m - use basic RLS algorithm to predict real-valued AR proce(rls_AR_pred.m- use basic RLS algorithm to predict real-valued AR proce)

说明：  基于matlab的SVM（支持向量机）算法。作为非常流行的svm工具，可以实现基于SVM的数据分析，能够应用于人工智能及模式识别领域。(Matlab based on the expectation-maximization algorithm for Gaussian mixture model (GMM) toolkit. GMM-based data can be analyzed, can be used in the field of artificial intelligence and pattern recognition.)

利用模式理论，对给定几何尺寸以及折射率分布的光纤进行模式求解与绘图，该程序给出LP12模的求解与绘图。(the LP01 mode of the fiber)

复杂网络社区发现中，用于计算边介数的代码。(Complex network of community found in the code for edge betweenness calculation.)