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说明：  matlab实验 用给定的多项式，y=x3-6x2+5x-3，产生一组数据(xi,yi，i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数)，然后用xi和添加了随机干扰的yi作的3次多项式拟合，与原系数比较。 如果作2或4次多项式拟合，结果如何？ (matlab experiment with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add random noise in yi (available rand generation (0,1) uniformly distributed random number, or rands generated N (0,1) random numbers), then xi and yi to add a random disturbance polynomial fitting for the three times, compared with the original coefficient . If 2 or 4 times for polynomial fitting, the result?)

Simulator for a GSM traffic channel transmission and reception This Simulink model simulates the entire transmission and reception of voice data of a traffic channel for GSM (TCH/FS)over a multipath fading channel, and it calculates the BER of the received signal(Simulator for a GSM traffic channel transm ission and reception This Simulink model simul ates the entire transmission and reception of v oice data of a traffic channel for GSM (TCH/FS) o ver a multipath fading channel, and it calculates the BER of the received signal)

useful MATLAB tips for programmers

视觉诱发电位实验用闪光刺激器，接并口用，可连续触发，每次刺激持续时间小于10毫秒。(Visual evoked potential experiment with flash stimulator connected to the parallel port with the continuous trigger each stimulus duration less than 10 milliseconds.)

Feature Extraction from EEG

这是高压直流输电部分的仿真文件，背靠背系统的(This is part of the HVDC simulation files back to back system)

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...)

libsvm searh forsearh for how to use it how to use it searh for how to use it (libsvm 2.8 libsvm libsvm searh for how to use it )

要求同学在学习EMD基本理论的基础上，对一维信号进行各种降噪方法的研究，实现信号去噪。 (EMD based learning requires students in the basic theory of one-dimensional signal noise study various methods to achieve signal de-noising.)

MATLAB编译，主要是与船舶相关的编译程序，简单方便，易于使用。(MATLAB compilation, mainly related to ship compiler, simple, convenient and easy to use)