EKF UKF Toolbox for Matlab V1.3

有序列表的插入，每次添加新数据时，保证整个列表的有序性(Into an ordered list, every time you add new data, to ensure the orderly nature of the entire list)

Writing C + + code, is to allow the use ns2 select the channel, which is our experimental multichannel implementation, hoping to share.

Compare FDM and FEM method in 1D

这是一款朋友生日祝福MATLAB编程，可以让你的朋友过一个不一样的生日(This is a friends birthday wishes MATLAB programming, you can let your friends over a different birthday)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)

自己调试的GSO程序，简单可运行，适合初学者参考。(The glowworm swarm optimization (GSO) is a swarm intelligence optimization algorithm developed based on the behaviour of glowworms (also known as fireflies or lightning bugs). The behaviour pattern of glowworms which is used for this algorithm is the apparent capability of the glowworms to change the intensity of the luciferin emission and thus appear to glow at different intensities.)

求解平方根的改进算法，运用U(k,i)=U(k,i)-U(q,k)*U(q,i)/U(q,q)；L(i,k)=U(k,i)/U(k,k)(An improved algorithm for solving square root, the use of U (k, i) = U (k, i)-U (q, k)* U (q, i)/U (q, q) L (i, k) = U (k, i)/U (k, k))

This code produces a US flag in matlab.

独立分量分析工具包，包括十余种主流ICA分析工具，上手可用。(Independent component analysis toolkit, including more than 10 kinds of mainstream ICA analysis tool, to get started is available.)

the program beta-Newmark for one-Degree Freedom Systems