Newton

独立主成分分析与主成分分析代码，速度比较快，而且比较好用(In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown in next sections are clear: when a rotational invariant classifier is used (as 1-NN with L2-norm) the classification results of FastICA/whitened PCA are equivalent, while the difference between Infomax and whitened data es significant but small)

modélisation gaussienne avec matlab

开关磁阻电机，直接转矩控制，控转矩，减小转矩脉动(Switched reluctance motor, direct torque control, torque control, reducing torque ripple)

MATLAB+神经网络，BP神经网络源码(MATLAB+ neural network )

hybrid pansharpening algorithm

该文件详细介绍了MATLAB进行矩阵的各种运算，内容丰富，浅显易懂(For matrix operation with MATLAB)

用于统计单词和句子数量,采用MATLAB编程(For the number of statistical words and sentences)

基于matlab仿真的应用SVPWM调制技术的电流双闭环T型三电平逆变器的仿真模型(Matlab simulation of current applications SVPWM modulation technique of Double Loop T-type three-level inverter simulation model based on)

matlab 比较实用 方便初学者学习的好资料(matlab facilitate more practical information for beginners to learn a good)

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