qsyn10

试用时域最小平方误差准则（最小平方逆设计）设计一个具有四项系数的IIR DF的系统函数，使其在y(n)=[3,2,1]输入激励下，输出v(n)逼近d(n)=[2,0.2,0.05]。令v(-1)=v(-2)=0。求出v(n)的前8个样值与d(n)进行比较。用matlab实现了此要求。(trial at the least square error domain guidelines (minimum inverse square design) design with a four DF IIR coefficient of the system function, so in y (n) = [3,2,1] incentive to import, export v (n) approximation d (n) = [2,0.2,0.05]. So v (1) = v (2) = 0. Get v (n) of eight samples value d (n) comparisons. Using Matlab realization of this request.)

说明：  利用matlab，读入一幅图片，输出它的7个不变矩。。。。(Using matlab, read a picture, the output of its seven invariant moments. . . .)

mimo的相关书籍，主要对mimo技术所涉及的一些基础理论进行概括和总结。方便读者阅读。(mimo' s books, mainly on mimo technology involved some of the basic theory Summary and Conclusion. The convenience of readers.)

强化学习源码，挺不错的，分享一下强化学习源码，挺不错的，(Reinforcement learning source, very good, reinforcement learning to share source code, very good,)

max loyd quantization for image processing

学习matlab的经典书籍，我就是通过它快速走上matlab学习之路的，现在奉献给大家。(Learning matlab classic books, I just go through it quickly learning matlab path, and now dedicated to everyone.)

说明：  气象学上求露点温度matlab程序，严格按定义编程。(matlab)

matlab 7.0下册，还有上册，大家一起下载吧。很有用的数学工具。(matlab 7.0 Book, but also on the list and we can work together to download it. Useful mathematical tool.)

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.(particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.)

说明：  可以对数量少、残缺、不完整的数据进行预测，如人口、缺水量等。也可以对灾害发生时间进行预测。(Can be a small number, mutilated, incomplete data to predict, such as population, water shortage and so on. You can also predict the time of occurrence of the disaster.)