lansvd_d1

74161实习十进制计数功能，有预置端和清零端(Decimal count )

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

dijkstra算法和例程，里面有相关的中文说明，容易学习！(dijkstra algorithms and routines, which have the relevant Chinese instructions, easy to learn!)

Introduction of the Particle Swarm Simulated Annealing Algorithm in Function Optimization

matlab相关教程，希望能给大家提供帮助，可以看看的资料(matlab tutorial, I hope to give help, you can see the information)

根据M序列的产生原理，利用MATLAB编程实现4阶、6阶及任意阶M序列的产生(M sequence generated in accordance with the principle of the use of MATLAB Programming 4 bands, 6 bands and arbitrary selection of sequence-order M )

光学传播，格林函数，matlab模拟小程序(optical transmission, the Green's function, small Matlab simulation procedures)

李纯明教授的经改进后的无需初始化代码，内有程序说明(designed by LCM)

说明：  改进的信号匹配追踪稀疏分解代码，基于gabor时频原子，对语音信号重构效果好(The improved signal matching pursuit sparse decomposition code is based on Gabor time-frequency atom, and has good effect on speech signal reconstruction)

This File a matlab code about network