sperlich_roland_200508_phd

数字信号调制动态演示系统，包含AM,PM,FM等多种演示，运行界面操作简单。(welcome to downloads this code !thank you!)

matlab学习资料 简明实例教程 主要介绍了编程的注意事项(matlab learning materials condensed example tutorial introduces the programming Note)

实现维纳滤波用于语音增强。第一步采用频域谱函数计算最佳的维纳滤波器，再对输入带噪信号进行滤波；第二步是在此基础上的改进，用了自适应的思想，及时根据当前帧的状态更新修正滤波器的系统函数，得到更精确的无噪语音信号。第三步是采用自适应LMS方法，在时域迭代计算滤波器系数，迭代次数足够多时可得到较准确的有用信号。(Implement wiener filtering used in speech enhancement. First step optimum wiener filter is obtained by using the frequency spectrum function, again to input the signal with noise filtering The second step is the improvement on the basis of this, with the idea of adaptive, and in a timely manner according to the current frame updates correction system function of the filter, get a more accurate without noise speech signal. The third step is to use the adaptive LMS method, iterative calculation in time domain filter coefficient, the number of iterations enough to get the useful signal accurately.)

观察高次插值多项式的龙格现象： 给定函数f(x)=1/(1+25x^2)(-1<x<1).取等距节点，构造牛顿插值多项式N5（x）和N10（x）及三次样条插值函数S10（x）。分别将三种插值多项式与f（x）的曲线画在同一坐标系上进行比较(Observation of high order polynomial interpolation Runge phenomenon: the given function f (x) = 1/(1+25x ^ 2) (- 1 <x<1).取等距节点，构造牛顿插值多项式N5（x）和N10（x）及三次样条插值函数S10（x）。分别将三种插值多项式与f（x）的曲线画在同一坐标系上进行比较)

一维世界qlearning算法实现自主向右移动(one qlearning example)

说明：  讲述的直接序列扩频通信系统从信号产生，发射，信道传输，接收整个系统的程序(this is matlab for DS_SS system)

用支持向量机预测水体富营养化影响条件，以及对各种条件进行多元回归预测(With support vector machine eutrophication impact conditions, as well as a variety of conditions, multivariate regression)

说明：  最近在研究脑电信号的处理 同事自己也收集了一些资料希望和大家分享(Recent studies dealing with EEG colleagues collected themselves would like to share some information)

matlab通讯原理的应用，适合初学者学习，很详细，还不错的咯。。(matlab communication principle, suitable for beginners to learn, in great detail, pretty good slightly. .)

这是图论中的一些常用算法的matlab程序。里面不仅有代码，还有相关数学知识(This is the graph theory in some of the commonly used algorithm matlab program. Which not only code, there are related to mathematical knowledge)