monte-carlo-simulation-in-matlab

MEDICAL IMAGE SEGMENTATION USING EDGE DETECTION TECHNIQUES

讲述在designer 6中差分布线的方法(About the difference in the designer 6 in the method of wiring)

说明：  实用化工计算机模拟 Matlab与化工数值计算-第2讲(practical computer simulation of chemical processes)

本程序通过对IIR滤波器系统级联和并联及系数量化对系统性能的影响(This procedure IIR filter system by cascading and parallel and coefficient quantization on system performance)

MATLAB神经网络30个案例分析_案例24 模糊神经网络的预测算法-嘉陵江水质评价的源代码及数据(MATLAB Neural Network Analysis of 30 cases _ the fuzzy neural network prediction algorithm in Case 24- Jialing River water quality evaluation of the source code and data)

基于卡尔曼的视频序列帧图像的跟踪程序，还有condense算子法的跟踪，可动态读取序列帧并对其进行估计跟踪，非常好的程序。(based video sequence pictures of the tracking process, in addition to condense operator law tracking, Dynamic sequences can be read on its frame and estimated tracking, very good procedures.)

the article about DC motors and pid controller

HMM matlab程序，可用于齿轮、轴承振动信号的故障诊断适合初学者理解HMM。(HMM matlab program for beginners to understand HMM.)

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.)

matlab图像融合工具箱,实现多源传感器图像融合功能(Matlab toolbox image fusion, multi-sensor image fusion function)