GPSchengxu

GPC Controller Simulation with RLS algorithm for the Parametric Identification.

We model the hunt as a game of three explicit stages: the stalk, the attack, and the subdual. We implemented this model in Matlab to simulate a velociraptor hunting a thescelosaurus and an African lion hunting a gazelle.

超全的模式识别matlab程序，欢迎下载(Pattern recognition matlab)

这个文件是关于matlab曲线拟合的资料，对学习matlab曲线拟合非常有用(This document is about matlab curve fitting information, to learn matlab curve fitting is useful)

Entropy R.Data This is an implementation of Entropy in R.

用于叶片理化参量反演的PROSPECT模型，在遥感领域中应用(PROSPECT MODEL)

卷积神经网络程序，包含训练数据样本，具有一定参考价值(Convolutional neural network program, including training data samples, with a certain reference value)

基于MATLAB的数字图像处理的分析，包括图像显示，图像平滑，图像锐化，等(MATLAB-based analysis of digital image processing, including image display, image smoothing, image sharpening, etc.)

Case Study – Loud Speaker Drive with Matlab implementation

fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian (each mean is a 2x1 vector) covar - fitted covariance for each gaussian. this is a 2x2xM matrix. t - probability of each gaussian in the complete distribution iter - number of iterations done by the function