bernoulli

802.15.3c中60ghz信道模型 包含多种场景 (802.15.3c channel model about 60ghz)

最短路径的MATLAB语言算法，最经典的算法，图形显示结果(The MATLAB language of the shortest path algorithm, the classic algorithm，Graphical display results )

基于GMM的说话人识别程序，提取梅尔倒谱特征进行训练(voice detection based on GMM)

AMPERMETER SIMULATION

可以直接运行的无线传感器网络覆盖算法MATLAB代码(Can be directly run the wireless sensor network coverage algorithm MATLAB code)

Support for wireless communication: MIMO

1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合(1、Classification_LS_SVMlab.m 2、Classification_OSU_SVM.m 3、Classification_stprtool.m 4、Classification_SVM_SteveGunn.mRegression_SVM_SteveGunn.m )

说明：  本程序主要使用matlab软件实现对人脸识别(The program mainly on face recognition using matlab software)

a matlab source code for convolution and correlation, combined by annotations

This paper presents a new image-based visual servoing (IBVS) controller named augmented IBVS for a 6-DOF manipulator. The main idea of this controller is that it produces acceleration as the controlling command. A proportional-derivative controller is developed to provide the robot with the controlling command. This controller can achieve a smoother and more linear feature trajectory in the image space and decrease the risk that the features leave the field of view. The developed control method also enhances the camera trajectory in 3-D space. The stability of the proposed method is fully investigated by using the Lyapunov method and the perturbed systems theory. Experimental tests are performed on a 6-DOF robotic system to validate the effectiveness of the proposed controller. The performance of the controller is compared with that of a conventional IBVS.