zishiyinglvbo

Hurst指数在股票市场有效性分析中的应用，matlab计算。(Hurst index effectiveness analysis in the stock market, the application Matlab calculations.)

This is a source code for ifft of variable size input string. It does not uses MATLAB built-in ifft function.

本代码是matlab编写的程序集合，是学习matlab图像处理的利器。包括图像边缘检测、图像阈值分割等等。(This code is a set of programs written in matlab, learning matlab image processing tool. Including edge detection, image threshold segmentation and so on.)

基于模糊逻辑控制的静止同步补偿器来提高暂态稳定性(Fuzzy Logic based Static Synchronous Series Compensator(SSSC) for Transient Stability improvement)

hurwtz,routh稳定判据的matlab文件，(hurwtz, routh criterion matlab file)

完整的数学建模方法,数据.信息技术安全系统的风险评估问题(Complete method of mathematical modeling, data. Information technology security risk assessment 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...)

impedance caracteristic of microstrip lines

matlab数学应用，实用的东东，嗯嗯，希望对大家有用(matlab mathematical applications, practical stuff, huh)

对信号进行Choi-Williams分布分析的matlab函数(The matlab function of Choi-Williams distribution analysis )