svmregLS

这是一个用高斯赛德尔算法解方程组的实例。(Gauss_Seidel)

雷达专业的经典教材，书籍雷达数据处理及应用，非常有用(Radar data processing and Application)

说明：  基于MATLAB的通信系统建模教程，包括simulink和源程序(communication system models based on MATLAB，simulink，and source programs)

k mean for clustering in the matlab.cluster do in environment 3-dimontional.

英文版Rsoft软件 BeamPROP 使用手册，简单详细(ENGLISH Rsoft Beamprop Guiding Manual, simple and detailed.)

高斯厄尔米特积分代码，实现高斯积分功能，环境为matlab(Gauss int)

Malla de puesta a tierra

本程序为基于几何地图方式的机器人定位matlab程序，利用地图匹配法定位，根据在局部地图中寻找完整线段与特征点，并在全局地图中寻找预制对应的线段(The programming is about the robot location which based the geometry map.this programming is used the method of map_matching ,in means of find the Complete Line Segments (CLS) and feature points in local map and Global map.)

说明：  读、写surfer文本的GRD格式的matlab程序，适合不需要插值的数据读写，比surfer自带的数据网格化功能处理的速度要快几十倍、甚至上百倍，可以处理大容量数据。(Reading and writing text surfer GRD format matlab program for reading and writing data without interpolation, the grid than the surfer' s own data processing capabilities several times faster, or even a hundred times, can handle large amounts of data.)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)