abc

图像加密隐藏的一个用MATLAB编写的好程序。(Hidden image encryption using MATLAB write a good program.)

改进单纯形调优法程序，用于非线性数值优化问题(Modified simplex optimization method procedures for the nonlinear numerical optimization problems)

Discrete sine transform matlab code

可以用来计算复杂网络中度以及度分布的函数(A way can be used to calculate the degree distribution and function of moderate of the Complex networks)

利用Matlab仿真的泊松过程，包含齐次过程和非齐次过程，平稳过程等。(Matlab simulation of the Poisson process, including the process of homogeneous and inhomogeneous process, stationary process.)

实现对离网运行的孤岛微电网的可靠性评估，用的是解析法，能够很好的评估孤岛的可靠性。(Realize the off-grid micro-run island grid reliability evaluation using analytical method, can be a good assessment of the reliability of the island.)

Zernike decomposition code

实现机器人避障功能，100个方格内可自己设置障碍区域，程序会自动寻找最短路径。另外附带试验参数(Robot obstacle avoidance function, 100 squares can set up their own regional barriers, the program will automatically find the shortest path. Also included with the test parameters)

在求解函数优化问题时，为了提升人工蜂群算法局部搜索能力，提出了一种新颖的混沌蜂群算法。(in order to improve the ability of artificial bee colony algotithm at exploitation, a novel chaos-artificial bee colony algorithm is proposed for continuous function optimization problems. )

The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.