spectral_color_1

LDPC码的编译码程序，用的是LU分解算法，和BP译码算法，在Matlab上调试通过(LDPC encoder and decoder)

运动目标检测 可以用得好程序，大家都来下载用用吧，希望给大家有帮助，其实我是想找这个网上的程序才上传的，什么狗屁网站。(Moving target Detection)

在栅格环境下，采用遗传算法实现静态全局路径规划(In a grid environment, using genetic algorithm static global path planning)

说明：  利用蚁群算法求解tsp（旅行商）问题，给出遍历方案，最后求出最短路径。(Ant colony algorithm for tsp (TSP) problem, given traversal solutions, and finally find the shortest path.)

MATLAB7.8鲁棒控制入门指南,这是一本基于MATLAB的鲁棒控制方面的入门书籍，希望对网友们有用(MATLAB7.8 Robust Control Getting Started Guide, which is a MATLAB-based robust control of entry books, useful for users who want to)

电力系统仿真 MATLAB2014软件上实现的(Power system simulation)

image file will rotate and give you translational matrix

四种（横线形 竖线形 十字形 方块形）中值滤波(Four kinds of (horizontal cross-shaped vertical-shaped box-shaped), the median filter)

说明：  低密度奇偶校验码（LDPC）的matlab仿真(Low Density Parity Check (LDPC) of matlab simulation)

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.