fangzhen1

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

一個能夠讀取eeg2000機型的matlab程式(One can read eeg2000 models matlab program)

用于多用户检测算法。可用于MIMO或CDMA系统中(MULTIUSER DECTECTION ALGORITHM,)

autofocusing algorithms using matlab

This is the first matlab code of chuck

使用遗传算法优化电动汽车传动比的适应度函数源代码(Genetic algorithm on power-train optimization of EV)

code for sparse code multiple access scheme

huffmman coding matlab code

Off-line signature verification based on grey level information using texture features

Contourlet变换思想，选用拉普拉斯塔式滤波器结构对图像多分辨率分解来捕捉奇异点。(Contourlet transform thinking, the choice of Laplace tower filter structure for multi-resolution images to capture the singularity exploded.)