Alamouti

MUSIC算法的matlab程序，可以帮助大家好好学习music算法(MUSIC algorithm matlab program)

基于Matlab的 GUI的集成软件，功能包括： 1、海杂波模型仿真和统计分析（瑞利、韦伯、对数和K分布SIRP和ZMNL法）； 2、海杂波/波导参数估计（海杂波、多径和波导参数和雷达探测性能估计）； 3、实测海杂波数据统计分析。(Matlab' s GUI-based integrated software, features include: 1, sea clutter model simulation and statistical analysis (Rayleigh, Weber and K on the number and distribution of SIRP and ZMNL Act) 2, Sea Clutter/waveguide parameter estimation ( sea clutter, multipath and the waveguide parameters and the radar detection performance is estimated) 3, measured sea clutter data statistical analysis.)

说明：  Springerj经典数据分析书籍，分别介绍有SPSS，Statistica和matlab软件。(Springerj classical data analysis books, each depicting a SPSS, Statistica and matlab software.)

癌细胞形态学分析癌细胞形态学分析癌细胞形态学分析(cell carcinoma cell morphology analysis of morphological analysis)

用matlab实现多幅静态图片合成gif动态图片特效(matlab make gif)

实现数据的简单DS融合，里面包含已有的五种数据的，利用贝叶斯、随机森林、k近邻分类器分类，最后融合(Simple DS fusion of data, which contains five kinds of data, uses Bayesian, random forest, k-nearest classifier to classify, and finally fuses.)

基于matlab的数值积分算法，用代码编写实现，含键控输入模块。(failed to translate)

说明：  CHAPTER 5 (C5 Folder) BASICS OF ELECTRIC MACHINES AND TRANSFORMATION Project 1: QD0 Transformation of Network Components SIMULINK file none MATLAB M-file none Project 2: Space Vectors SIMULINK file s2.mdl MATLAB M-file m2.m (also used by masked block) Project 3: Sinusoidal and Complex Quantities in QD0 SIMULINK file s3.mdl MATLAB M-file m3.m (also used by masked block)

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,)

machine learning-Density Estimation objects. parzen - Parzen s windows kernel density estimator indep - Density estimator which assumes feature independence bayes - Classifer based on density estimation for each class gauss - Normal distribution density estimator