CRLB

PCA ICA and LDA for Face-Recognition this document helps you understand the main idea in PCA ICA and LDA algorithms and their differences

源码为在声发射定位中，针对平面定位提高定位精度，自己编写的定位算法(acoustic emission location)

Duhem模型辨识程序，给出了迟滞环曲线(identification of Duhem model)

基于小波变换的数字水印算法matlab代码，阐述了负荷预测的应用研究,是一种双隐层反向传播神经网络。( Based on wavelet transform digital watermarking algorithm matlab code, It describes the application of load forecasting, Is a two hidden layer back propagation neural network.)

一篇很好的讲述瑞利衰落信道下空时编码方法的英文文献(A good about Rayleigh fading channels space-time coding method of the English literature)

模拟二维平面干涉图，I(x,y,t)=a(x,y)+b(x,y)*cos(ph(x,y)+w*t)(Simulation of two-dimensional interference pattern)

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

说明：  各种测试函数的源代码，包括ackleysfunction、braninfunction等(Various test functions of the source code, including ackleysfunction, braninfunction etc.)

数据处理matlab中关于gapp算法的代码(About gapp algorithm in matlab code)

LiScNLS is a Matlab application for the numerical study of some nonlinear differential equations of the form Lu=Nu, using the Lyapunov-Schmidt method. Downloading the LiScNLS package creates a new LiScNLS folder on the computer.(LiScNLS is a Matlab application for the numerical study of some nonlinear differential equations of the form Lu = Nu, using the Lyapunov-Schmidt method.Downloading the LiScNLS package creates a new LiScNLS folder on the computer.)