jos

说明：  显著区域提取程序，比ITTI的有所提高，很好用。(Significant regional extraction procedure, compared with ITTI' )

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

操作数值积分的类 CIntegral 的实现代码(Operation of numerical integration code for the class implementation of CIntegral)

说明：  采用总变分法（TV）进行图像修复的matlab源代码。包括热扩散修复和多尺度方法。(using variational (TV) for image restoration of Matlab source code. Thermal diffusivity including repair and multi-scale approach.)

matlab fig中直方图加入阴影斜线(matlab fig histogram adding shadows slash)

Lte OFDM channel estimation algorithms

这是用Matlab语言进行开发设计的，主要用对于自然灾害的检测，比如里面提到的对泥石流摧毁的道路进行检测。(This is carried out using Matlab language development and design, and is mainly used for the detection of natural disasters such as landslides which destroyed on that road for testing.)

利用matlab采用最小二乘法很好的实现了振动阻尼的数值求解(Least square method using matlab realize very good vibration damping of the numerical solution)

Markovian decision Prosses

1D Ising ising1(n,m,b,p) n - length of domain, a positive integer m - number of iterations, a positive integer b - coupling parameter / temperature, a positive scalar b = 0 -> Very high temp / low coupling b > 1 -> Very low temp / high coupling( 1D Ising ising1 (n, m, b, p) n- length of domain, a positive integer m- number of iterations, a positive integer b- coupling parameter/temperature, a positive scalar b = 0-> Very high temp/low coupling b> 1-> Very low temp/high coupling)