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并行和串行级联码已成为一种实用的方法，取得了良好的性能。在此论文中，我们将介绍并行和串行级联单奇偶校验乘积码。我们对这种码的码重分布进行了分析，其性能是有界的。仿真的结果确定了在高信噪比情况下的性能界限。这种码（与一些变种）的性能证明对于降低译码复杂性和适当的短码长具有相当良好的效果。(Parallel and serial concatenated code has become a practical way to obtain good performance. In this paper, we will introduce the parallel and serial concatenated single parity check product codes. We re-distribution of this code code analysis, and its performance is bounded. The results of the simulation to determine the performance limits in the case of a high signal-to-noise ratio. Proof of performance of this code (with some variants) having a fairly good effect for reducing the decoding complexity and the appropriate short code length.)

一篇空时码的综述文章，以及给出了1*1，1*2，2*1，2*2接收发机天线结构的matlab仿真程序。(A space-time code synthesis article, as well as give a 1* 1,1* 2,2* 1,2* 2 receiver antenna structure of hair matlab simulation program.)

matlab源程序，粒子群和小生境还有量子的结合，可以运行 收敛效果好(matlab source, particle quantum groups and the combination of niche there, you can run a good convergence effect)

Matlab的中文帮助电子书，里面讲解的比较详细，对初学者有很好的帮助。(Matlab help the Chinese e-books, which explain in more detail, there is a good help for beginners.)

K-means algorithm code matlab

state estimation for navigation system

Face Recognition Based on FisherFaces

BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)

最小鉴别信息算法，用于分类计算等，用于matlab环境下(Algorithm to identify the minimum information for the classification of calculation for the matlab environment)