二维经验模态分解，采用形态学求极值点

粒子群算法在排列组合问题中的应用，源程序，matlab下编写(Particle swarm optimization problems in permutation and combination of applications, source code, matlab, prepared)

针对采用解码-转发(DF)协议的协作中继网络,提出了一种基于买者-卖者博弈的中继选择和功率分配策略,通过将用户建模为买者,可以以最大效用为标准选择最优中继和确定最佳的购买功率;将中继建模为卖者,可通过先市场后利润的功率价格调整策略获得最大的利润。(For the cooperative relay network using decode and forward (DF) protocol, a relay selection and power allocation strategy based on the buyer seller game is proposed. By modeling the user as a buyer, the optimal relay and the optimal purchasing power can be selected with maximum utility as the standard. The relay is modeled as a seller, and the profit can be achieved through the market after the first market. The power price adjustment strategy obtains the maximum profit.)

仿真效率很高的，是国外的成品模型，D-S证据理论数据融合，给出接收信号眼图及系统仿真误码率，基于matlab GUI界面设计,LCMV优化设计阵列处理信号。

资源描述JC算法是计算结构可靠度的有效快速的方法，该方法已经被JICC机构纳入到计算结构可靠性的规范中。JC算法也成为验算点法，就是通过计算功能函数到原点的最短距离作为可靠度指标beta，采用标准正态分布计算得到。本程序考虑了非正态分布、存在相关系数分布的复杂结构系统的可靠度计算程序。

Source code in matlab of neural network.

《计算机程序设计艺术》重译自Donald E. Knuth(汉名高德纳)的三卷著作： The Art of Computer Programming: 1. Fundamental Algorithms 2. Seminumerical Algorithms 3. Sorting and Searching ；三卷中文名为《基本算法》、《半数值算法》及《排序与查找》。本书内容博大精深，作者因为三卷书获得美国计算机协会1974年图灵奖（该奖被国际公认为计算机科学领域的最高奖项）。(The Art of Computer Programming retranslation Donald e. Knuth (han gartner) three volumes of The book: The Art of Computer Programming: 1. The Fundamental Algorithms 2. The Seminumerical Algorithms 3. The Sorting and Searching Three volumes in Chinese, the basic algorithm, a numerical algorithm and the sorting and searching.And profound content of the book, the author for three books for the computer association in 1974 Turing award (the prize is internationally recognized as the highest award in the field of computer science).)

演化算法标准测试函数CEC2006,括Matlab代码，JAVA，C代码。(Problem Deˉnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization)

DCDC chopper control

matlab code for digital signal processing

由于自校正控制器在实际中的广泛运用，其缺点日益明显，主要体现在变阶次、变时延和变参数的系统中，因此研制具有较强的鲁棒性的控制器在实际运用中非常有用。Clark等人提出的广义预测控制自校正控制器是一种基于参数模型的预测控制算法，它采用了时段优化性能指标，结合辨识和自校正机制，从而克服自校正控制中存在的缺点，具有较强的鲁棒性。(self-tuning controller in practice the widespread use of its increasingly obvious shortcomings, mainly reflected in the change of Order, Variable Delay and change parameters in the system, developed with the robustness of the controller in actual application is very useful. Clark and others put the GPC self-tuning controller is based on the parameters of a model predictive control algorithm, it uses time optimize performance indicators, combining literacy and self-correction mechanism, in order to overcome self-tuning control of the shortcomings, with strong robust.)