Bhattacharyya

horn-schunck算法的MATLAB函数 (horn-schunck algorithm MATLAB function)

对matlab工具箱中的多元逐步回归算法参数表现更明确(Matlab toolbox to the stepwise multiple regression algorithm performance parameters more clearly)

speaker identification tutorial

说明：  用粒子群算法解决背包问题，能得到比较有效的结果(Particle swarm algorithm to solve knapsack problem, the results can be more effective)

对matlab7.0进行详尽的介绍，从浅入深，利于初学者的学习(A detailed description of matlab7.0 from shallow into the deep, which will help beginners to learn)

故障诊断方面的。在电力传输线上的。讲解详细，逻辑性强，有利于仿真创新(Fault diagnostics. In the power transmission line. Explain in detail, logical, beneficial simulation innovation)

Matlab Code for: Adaptive post-filtering for reducing blocking and ringing artifacts in low bit-rate video coding in Signal Processing: Image Communication 17 (2002) 525–535

适应值的选取是一个重要的运算过程，我们应该选择合适的适应值函数，这样才能够很好的选择最佳的变量值(Fitness selection process is an important operation that we should select the appropriate fitness function, so that it can be a good choice of the best value of the variable )

Optimal Filtering with Kalman Filters and Smoothers

纯方位定位算法，所提供的代码极为有用，对研究数据融合的人不妨可以试一下。(pure positioning algorithm, which provides an extremely useful source of research data integration may be the try.)