RLS

考虑载波的qpsk信号在瑞利信道上的仿真(consider Carrier qpsk Rayleigh channel signal simulation)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

说明：  本程序有传统的MUSIC算法和基于分数低阶矩的MUSIC算法 在alpha稳定分布下的性能仿真(this programme contain the performence of traditonal MUSIC algorithm and FLOC MUSIC algorithm under the alhpa steady distrubution)

of the electrical power system. At the time of transformer energization high current is drawn by the transformer known as the inrush current. This current is nearly ten times more than the full load current of transformer. It produces mechanical stress on transformer and also affects the windings and bushings of the transformer. The large switching transient current affects malfunction of protection system of power system and the different equipments connected to system. So the inrush current should be minimized. There are different methods used to minimize the inrush current such as volt second balance, series compensator, point on wave switching method etc. This paper focuses on point on wave switching method. It also explains the results for inrush current of three phase transformer with and without point on wave switching method. A test is driven on 450 kVA, 500kV/230kV grounded Y/D transformer in MATLAB/SIMLINK environment. It also focuses on

is for smulation of Induction Motor using MATLAB

Matlab 下很方便的map 插件，简单实用。(Matlab is very easy to map the next plug-in, simple and practical.)

基于回归理论分析的支持向量代码及m代码顶顶顶顶顶顶(Based on support vector regression analysis code and m code)

image processing using pcnn

实现参数辨识，可以自己更改当中的某些参数，实现不同对象的参数辨识(To achieve parameter identification, which can change some of their parameters, to achieve parameter identification of different objects)

Mimo with Rayleigh channel and Zero Forcing