MIMO_RLS

说明：  最小二乘法数学程序及其算法仿真，详细说明最小二乘法流程(RLS example Least squares mathematical program and its algorithm simulation, detailing the least squares process)

Tutorial on maximum likelihood estimation

运用最小均方误差算法实现自适应波束形成的MATLAB源程序(Minimum mean square error algorithm using adaptive beamforming)

matching process require method like gethamming distance to compare and match acquisition iris

simo,miso,mimo信道容量累计概率分布图(simo, MISO, mimo channel capacity cumulative probability distribution)

两本PDF格式电子书，是关于s-function编写的。内容很全面。(Two PDF format e-books, is about the s-function written. Content is very comprehensive.)

Nonparametric belief propagation implementation

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

optimizing code & lDPC

建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差(The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error)