Face_test_luminance

This Matlab Source File will help you understand BER of bpsk, qpsk, 8psk

灰色预测，求关联度、极差、关联系数以及后验差检验(Gray predicts that demand correlation, poor, poor correlation coefficients and posterior test)

针对提出的故障信号，利用awgn加噪，对其进行小波软硬阈值降噪，提出一种改进阈值，利用五种自适应阈值函数sqtwolog、rigrsure、heursure、minimaxi和ddencmp中阈值选取原则，对软阈值、硬阈值和改进阈值进行降噪效果对比。(In view of the proposed fault signal, the wavelet soft and hard threshold de-noising is carried out by AWGN adding noise, and an improved threshold is proposed. The threshold selection principle of five adaptive threshold functions, sqtwolog, rigrsure, heursure, minimaxi and ddencmp, is used to compare the soft threshold, hard threshold and threshold value.)

说明：  大家好，我是建模的新手，希望大家相互交流共同提高。只是一个教程。很有用的哦。(Hello everyone, I am modeling the novice, I hope everyone together to improve mutual exchanges. Just a tutorial. Oh, very useful.)

信道编码、解码对应流程、完整、正确，有对比图形(Channel encoding and decoding processes corresponding to a complete, correct, there is a graphical comparison)

matlab 在pid领域的新的应用。用matlab环境实现pid控制。(pid is a very important thing.this artile is pid zai matlab ling yu de ying yong.)

randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2 mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around cov1, cov2, cov3 are the covariance matrices and will vary changing the shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar N = the number of gaussian samples used are provided as user input, A test set of N/2 and a training set of N/2 gaussian samples is also generated Output is directed to the command window and a plot of the distributions are generated

说明：  研究大气边界层的朋友可以看看。。伯翰平均值和脉动量(Study the friend can see atmospheric boundary layer. "John average and pulse)

奇异值与主成分分析（PCA)的介绍,比较简明易懂,对初学人大有帮助(SVDAND PCA,HOPE TO HELP YOU,IF YOU HAVE SOME QUESTION ASK ME)

人工蜂群算法的matlab源代码，共有两个版本，原作者版和改进版。 (Artificial Bee Colony (ABC)algorithm matlab source code, there are two versions, the original author version and an improved version. Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. )