puma-robot-simulation

Threshold choice of non-coherent detection of on=-off keying (OOK) signal

Sky lab calculate position of satellite in GNSS systems and calculate elevation and azimuth them and show them.

接收信号为加噪声的QPSK信号，通过球的维纳解，实现系统辨识，达到滤波的目的。(Received signal is the QPSK signal plus noise, the Wiener solution through the ball, to achieve system identification, to achieve the purpose of filtering.)

使用协方差矩阵的方法对MIMO的DOA进行估计，从而得到copon的DOA算法(Covariance matrix using the method of MIMO DOA estimation, resulting copon DOA Algorithms)

变步长LMS滤波器做系统辨识，有详细注释，课运行(Variable step size LMS filter to do system identification, detailed notes, classes run)

针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected by particle swarm optimization before SVM classification. The results of the two classifications are compared and analyzed.)

gauss-seidel算法 基于matlab编译的程序

利用matlab实现无迹卡尔曼滤波（UKF）算法，并给出仿真结果(Using matlab to realize no trace kalman filter (UKF) algorithm, and the simulation results is given)

这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较，很值得研究！(The key players here and some of the LMS algorithm is an improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) the differences between the points of comparison, in the traditional LMS algorithm is developed on the basis of the LMS algorithm applications. On the other hand and from the analysis of RLS algorithm and LMS algorithm for its different characteristics were compared, it is worth studying!)

simple FEMM code based on matlab 2009