FLL

This project compares the performance of SOM versus LVQ in classification problems. Given two data sets: ‘iris.dat’ has 150 patterns of 3 classes with 4 features. ‘wine.dat’ has 178 patterns of 3 classes with 13 features. For SOM, use its algorithm (not use MATLAB tool), but for LVQ use MATLAB tool.

paper written by kalman in 1960

eigsolution for dynamic system

这是用itpp库编写的卷积码的解码程序。由于用C++库和Intel的MKL库，所以速度飞快。同样的仿真点数， Matlab2012下用了15分半钟，而这个程序仿真只用了半分钟，相当于是matlab速度的30多倍。(This is itpp prepared for the convolutional code decoding process. Because with C++ libraries and Intel' s MKL library, so fast. The same simulation points under Matlab2012 spent 15 and a half minutes, and this program simulation with only half a minute, the equivalent of 30 times the speed of matlab.)

matlab ，本文献是关于广义s变换的一个源码，但是源码只有函数，不能自动生成变换(Matlab, this literature is a source of generalized s transform, but the source function only, not be generated automatically transform)

pso算法的简单程序，全面的实现了算法的简单快捷性。解决寻找最优问题。(the pso algorithm simple program, comprehensive implementation of the algorithm is simple and quick. The search for optimal problem.)

Finite elements analysis for a beam with three joints

说明：  BP神经网络在MATLAB中的应用，有数据支撑(Application of BP neural network in MATLAB)

说明：  lms实现自适应均衡器 作用是比较明显的(lms)

递推最小二乘法是参数辨识中最常用的方法A 但容易产生参数爆发现象,文推导了一种更稳定的辨识方法用递推阻尼最小二乘进行系统辨识(Recursive least squares method is commonly used in the parameter identification method A but easy to produce A burst of parameter phenomenon, wen A more stable identification method was deduced using recursive damped least squares identification system)