Bayes-and-Fisher

马尔科夫链的matlab仿真,马尔可夫模型（Markov Model，MM）是统计模型，它用来描述一个含有隐含未知参数的马尔可夫过程。(Matlab simulation of Markov chains, Markov models (Markov Model, MM) is a statistical model, which is used to describe an unknown parameter containing hidden Markov process.)

介绍matlab中各种运算函数，方便基本函数的查找，方便编程和仿真(Introduced the a variety of arithmetic function in the matlab, convenient the the Basic Function in to find, convenient the programming and simulation)

介绍了关于电网孤网运行时的风险分析及其解决办法(isolated power system operation)

抛物线法（二次插值法）。根据最优化方法（天津大学出版社）算法编写。 (Parabolic method (quadratic interpolation method). According to the optimization method (Tianjin University Press) algorithm written. )

FDTD的MATLAB代码，PML边界条件，三维模型(FDTD MATLAB)

主要用途是对抗多径衰落。由于多径衰落的存在，使得同一个帧由于路径不同，到达用户端的时延有先有后。在相关的频域上的会造成子载波之间的相互干扰，影响 性能。另外，由于有了循环前缀，使得IFFT FFT操作把原来的线性卷积变成循环卷积，大大简化了相应的信号处理复杂度(The main purpose is to fight against multipath fading. Due to the presence of multipath fading, the first after they have the same frame different paths to reach the client delay. Would cause mutual interference between sub-carriers in the frequency domain, affecting performance. In addition, thanks to the cyclic prefix, so IFFT FFT operation to the linear convolution of the original into a circular convolution, greatly simplifying the corresponding signal processing complexity)

RLS算法语音降噪，使得语音信号更加清晰。(Speech noise reduction in RLS algorithm,To make the voice signal more clear.)

这是一个用在光学测量中的程序，他的作用是产生正弦条纹(This is a program in the optical measurement, his role is to produce sinusoidal fringe)

matlab版本的数字信号处理，适合初学的人。(matlab version of the digital signal processing, suitable for beginners person.)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )