Matlabandcmultiplyprogramme

线行方程组的Gauss Jacobi 及一个简单的自适应算法(Line line Gauss Jacobi equations and a simple adaptive algorithm)

说明：  盲信号分离中性能评价的串音误差分析的MATLAB程序(Performance Evaluation of blind signal separation in crosstalk error analysis of MATLAB program)

UCF Content Transfer Tuning Guide

Adaptive directed mutation for real-coded genetic algorithms

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...)

利用MATLAB对负指数序列进行作图，绘制出实部与虚部波形(MATLAB plotting the negative exponential sequence, to map out the real and imaginary part of the waveform.)

solovay-strassen素性测试法的matlab实现，这也是密码学中的常见算法(solovay-strassen primality test of matlab implementation, which is common cryptography algorithms)

无功补偿的pso的改进算法，希望大家喜欢(pso)

说明：  灰度传递函数分析，(a)高斯传递模型，(b)和(c)分别是理想编码图经过结构光系统前后的灰度分布，(d)和(e)分别是编码图和采集图。(Gray transfer function analysis, (a) Gaussian transfer model, (b) and (c) are the ideal coding picture through structured light system before and after gray level, (d) and (e) are coded map and chart collection .)

这是数字滤波器设计的一些程序，用Matlab语言编写的。(This is the number of digital filter design program written using Matlab language.)