mani-real

电力电子与MATLAB仿真，科学和工程专业的研究生做的电力电子方向有了一个良好的信息，有很多共同的电路品种是有用的，非常实用(Power Electronics and MATLAB simulation, science and engineering graduate students to do a good information on the direction of power electronics, there are a variety of common circuit is useful, very practical)

移动机器人同时定位与地图创建最前沿技术，来自school summer 的培训材料，一共有三个代码包，包括EKF，PF等代码，这是第二部分，主要是关于数据关联（data association）的.(Mobile Robot Localization and Mapping at the same time to create the most cutting-edge technology, from the school summer training materials, a total of three code package, including the EKF, PF and other code, this is the second part, mainly on the data association (data association) of .)

贝叶斯决策包含最小风险和最小错误概率两种情况的仿真(Bayesian decision-making included the minimum risk and minimum error probability of the two simulation)

说明：  用c++编的关于图书系统的一个实例子，有参考价值(With c++ Series on the book an example of sub-systems, there are reference value)

时域信号去噪后去噪效果评价指标，包括信噪比、均方误差等(After the time-domain signal denoising denoising uation, including SNR, MSE, etc.)

对原始的KMeans聚类算法进行改进，使得算法可以自动确定参数K值。(An improved KMeans clustering is proposed to determine the values of parameter K.)

简单的阵列仿真，适用于初学者。大家可以参考一下。(Simple array simulation for beginner. We can refer to.)

Contourlet变换的源程序工具，包括图像处理应用的很多程序(Contourlet transform source tools, including image processing applications, many applications)

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.)

说明：  可以很好的对图像数据进行前处理，能对扫频数据进行分类。(Can be a good pre-processing the image data, can sweep data classification.)