Hamm74_viterbi

最小生成树，不只到谁能将他转换成MATLAB语言的算法？(Minimum spanning tree, not only to him who can convert MATLAB algorithms language?)

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》4 特征提取,图像识别初步,人工神经网络,基于ANN的数字字符识别系统(&quot Digital image processing and machine vision: Visual C++ and Matlab to achieve&quot four feature extraction, image recognition initially, artificial neural network, ANN based digital character recognition system)

finite difference method有限差分法求波导的TM模式(finite difference method finite difference method for the TM waveguide mode)

MIMO Tool is a toolbox for MATLAB (it works fine in every version from 5.3 until 7.8) developed with the aim to offering a complete toolbox for continuous time MIMO linear systems analysis and robust control synthesis.

Feature Extraction from EEG

fastslam的程序，十分全，毕设用过了，研究生毕业论文也用了。(fastslam procedures, very full, complete set used, and graduate thesis also used.)

详细介绍程序的编写步骤,并且附有原代码.是一个横好的matlab程序．(Introduce procedures for the preparation of detailed steps, and with the original code. Is a good cross-matlab procedures.)

optical fiber simulation

：给出了一种提取特征点的新方法和合理的特征不变量。该方法根据三角不等式原理利用第三边与另 外两边之和的比值大小来确定角点，以特征点和它相邻的两个特征点所形成的两条直线的夹角正切值以及三角形 第三边与另两边和的比值作为特征不变量。这种特征提取的方法简单，并且由于扩大了模板取值范围，使识别效果受特征点漏检的影响较小。实验表明，该方法不仅简便，而且效果良好。(: In this paper, a new feature point extraction method and the characteristics of rational invariants. The method is based on the principle of triangle inequality with the use of the third side and both sides of the ratio of the size to determine the Corner to feature point and its two adjacent feature points formed by the angle between two tangent linear and the third triangle on both sides and edges with another feature of the ratio as a variable. This feature extraction method is simple, and as a result of the expansion of the scope of the template values to identify the effect of feature points by the impact of smaller undetected. Experiments show that the method is not only simple, but effective.)

FIR 滤波器的自适应模拟，通过收敛性、学习曲线等方面对RLS 算法以及LMS 算法的不同特性进行了比较(FIR Filter simulation, through the convergence of the learning curve compared with the RLS algorithm, as well as the different characteristics of the LMS algorithm)