CART

本教程包含以下内容： SIMULINK简介（包括各个模块的介绍） SIMULINK功能模块的处理 SIMULINK线的处理 SIMULINK自定义功能模块 SIMULINK仿真的运行 SIMULINK s-function的设计 SIMULINK 仿真举例 (The Guide contains the following elements : Simulation profiles (including all modules) on SIMULINK functional modules handling Informations LINK line treatment SIMULINK-defined functional modules SIMULINK operation Informations LINK's-function design for SIMULINK)

矩量法实现二维平面入射电磁波在椭圆柱上的散射(Method of moments to achieve the two-dimensional scattering of incident electromagnetic wave in the oval column)

matlab化探数据处理，大家来讨论下。(matlab goechemistry)

对数组中的样本，进行异常样品剔除的方法。(The array of samples for anomalous samples removed approach.)

在matlab下有关s函数的应用，自抗扰控制器的S-function(S function in matlab under the application of Auto-Disturbance Rejection Controller S-function)

基于LMS算法的自适应滤波收敛性的Matlab仿真(LMS adaptive filtering algorithm based on the convergence of the Matlab simulation)

MATLAB gui实现软信号发生器面板(software of signal generator designed by matlab gui)

读取星历观测文件GPS和北斗卫星的可见卫星数作为输出(read ephemeris observation file to give out GPS and Beidou visible satellite number)

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

Restauration virtuelle de l’art pariétal paléolithique le cas de la grotte de Marsoulas