facedetection

matlab最新统计模式识别工具箱，更新日期2008.2.26(The latest statistical pattern recognition toolbox matlab, 2008.2.26 updated)

matlab编程100例2，有详细程序，很有用(2 100 cases of matlab programming, detailed program, very useful)

wireless sensor network time synchronization based on TPSN and RBS

搭建双向DC-DC双电路，实现直流微网并网运行蓄电池恒压充放电(Constant Voltage Charging and Discharging of Batteries in Grid-connected Operation of DC Microgrid Based on Bidirectional DC-DC Double Circuit)

两个盲源分离程序 分别对应文章《Underdetermined Blind Source Separation using Sparse Representations》和《Underdetermined blind separation of delayed sound sources in the frequency domain》(Blind Source Separation )

毕设关于SIFT SUSAN等算子对于图像特征提取的应用，利用Matlab做的(Completed based on the SIFT on SUSAN operator for image feature extraction, using Matlab to do)

阵列声源声场模拟的matlab程序（包括声柱，同相点声源等）( simulation of spk arriys’acoustic performance )

针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)

卡尔曼滤波基础和实践一书的matlab源码(Fundamentals of Kalman Filtering—A Practical Approach)

Sample Code for Generic OFDM with Cyclic Prefixing