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在数值方法中，用Matlab实现Gaussian Hermite， 此方法用来计算数值积分(Gaussian Hermite)

基于增广矩阵束的二维doa算法，阵列流型为L型，在matlab环境下实现(Doa algorithm based on a two-dimensional array Flow augmented matrix beam is L-shaped, achieved in the matlab environment)

附带四种SVM工具箱的分类以及回归算法源代码(Four SVM classification and regression algorithm toolbox)

一个函数,可用于构建CDMA信源,有数据产生的PN码的形成,以及噪声设置(a function can be used to build CDMA source, the data PN formation, and installed noise)

阐述了LMS算法中步长选择对结果收敛的影响(Described step LMS algorithm convergence results)

图像中值滤波，用matlab实现了3×3邻域中值滤波，以及实现5×5十字形中值滤波。(Image filtering, using matlab to achieve the 33 neighborhood median filtering domain, and the realization of the value of 55 cross filtering.)

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)

可通过MATLAB快速实现图像中的人脸的识别，并标定人脸等信息(Fast Implementation via MATLAB image of face recognition and demarcation of the face and other information)

对三维数据进行处理，得到图像的多尺度细节，进行分析处理(trea the three-dimensional data)

证据理论中区间模糊matlab实现，用于决策推理(Interval fuzzy evidence theory matlab achieve for decision-making reasoning)