voltage_profile

induction motor simulation in matlab

是一个用MATLAB编的一个系统，是关于各个神经我网络模型和支持向量机的软件包(using MATLAB is a part of a system of various neural network model and I support vector machine packages)

turbo coding is a powerfull successive iteration decoding algorithm

物理光学上的干涉实验，用matlab编程来实现，比较实用！(Intervention on physical optics experiments with matlab programming to achieve more practical!)

thinning is used to eliminate unwanted noise

calculate the 3d voxels (in 2d pixel)

(2,1,3)卷积码编码，硬判决译码；编码是matlab语言，译码是verilog语言((2,1,3) convolutional code encoding, hard decision decoding coding is matlab language, decoding is verilog language)

一维 二维 三维分形布朗运动的序列生成，以及相空间生成(One-dimensional 2D and 3D fractal Brownian motion sequence generation and generation phase space)

脉动风时程matlab程序,风荷载时程曲线的matlab代码，自己找了好久，加上自己的修改，很简单。(Fluctuating wind schedule matlab, the wind load process curve of matlab code when, for a long time, and their own )

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...)