example1

Matlab7官方学习手册，英文版，详细系统了介绍了matlab的基本内容和部分工具箱。(Matlab7 an official study manual, in English, describes in detail the system of the basic content and some matlab toolbox.)

电机模型 可以用于电机的matlab仿真 为m文件 直观方便(Motor model can be used for motor simulation matlab m files for easy and intuitive)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

主要说明了在噪声干扰下　如何利用ＭＡＴＬＡＢ实现图象恢复(main note of the noises using MATLAB Image Restoration)

in this file is distributed system in two case

初学者使用，能比较方便地查找matlab的常用函数。(Beginners to use, can be more convenient to find a common function of matlab.)

许多工程软件需要用到复杂的数学算法。VC++能够形成各种用户界面， 并可以直 接与系统及底层硬件交换数据。因此研究VC++和Matlab 的混合编程具有很大的实际意义。 该文讨论了如何使用Matlab 的Complier 将*.m函数编译为动态链接库DLL， 提供给VC++ 调用的方法， 提供了一种VC++与Matlab 混合编程的快速实现。(Many engineering software necessary to use complex mathematical algorithms. VC++ Can form a variety of user interface, and can be directly related to systems and data exchange underlying hardware. The study VC++ And Matlab programming hybrid has great practical significance. The article discussed how to use the Matlab Compiler to compile*. m functions for dynamic link library DLL, available to VC++ Call methods, provides a VC++ With Matlab rapid realize mixed language programming.)

通过对proc的文件进行操作来了解KERNEL的有关信息(of proc operate in the paper to find out the relevant information KERNEL)

a fixed point algorithm for solving nonlinear optimization problems which is essential for advanced image processing

Quantitative Image Recovery From Measured Blind Backscattered Data Using a Globally Convergent Inverse Method