simulatiion

VB与Matlab集成求解车间调度优化问题，详细的论文解说。(VB and Matlab integration for solving job shop scheduling problem)

英文版的书籍，使你了解xcode开发工具和相关的知识(English version of the book, so that you understand the xcode developer tools and relevant knowledge)

Combining some labeled images is a quite common and useful task in image analysis. That s something we may want to do to prepare the markers for a watershed from markers for example, or to write the output of several segmentations in a single file. This article comes with three new filters to make the combination of labeled images easier with ITK. This contribution also try to provide an implementation better integrated with the ITK pipeline model than the itkMultipleUnlabeledImagesToLabeledImageFilter contribution.

EMD算法，经验模态分解，信号处理与分析方面用到，算法很简单，中文(EMD algorithm, the empirical mode decomposition, signal processing and analysis used, the algorithm is very simple, Chinese)

本程序不能编译除大小写字母之外的编码 本程序需事先建立字母权值文后件才可运行 本程序从文件中读入文字，编译后写入文件，所以屏幕上不会直接出现答案(not build this program in addition to case-insensitive outside of the coding process required prior to the establishment of the letters after the value of the text pieces can Win OK this program read from the file into the text, compiled into the paper, not directly on the screen appeared the answer)

The file lib_crc.c contains source code for functions to calculate five commonly used CRC values: CRC-16, CRC-32, CRC-DNP, CRC-SICK, CRC-Kermit and CRC-CCITT. The functions can be freely used.

产生功率谱为高斯谱的的瑞利杂波，并画出图形 (Produce the power spectrum for the Gaussian spectrum of Rayleigh clutter and draw graphics)

一个介绍如何用matlab模拟实现ANN的文章，对于学习ANN的人来说非常值得一读(1 describes how to use matlab simulation to achieve ANN article, for those who study ANN is very well worth reading)

说明：  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.)

this code for search in image library