dt

提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(extract information based on the instan eous features : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, a signal to one of the instantaneous frequency of the power spectral density of the maximum, According to 16QAM and QPSK signals XI axis projection in the different performance parameters raised.)

find boundary of triangular mesh

网上找的，比较全面的alpha稳定分布的matlab程序(Find online, more comprehensive alpha stable distribution matlab program)

说明：  布谷鸟搜索的算法,其中，cs_spt.m为主程序，fobj.m为目标函数(The algorithm of cuckoo search,in which CS _SPT is the main program and fobj is the objective function .)

ST分段控制的iOS，精选ios编程学习源码，很好的参考资料。(ST segment control of iOS, ios programming learning source selection, a good reference.)

贝叶斯分类器设计。 对两组数据（学生的英语成绩）的分类(Bayesian classifier design. On two sets of data (student performance in English) classification)

包含三个源码分别是单脉冲测角的仿真，基于MMSE准则的自适应旁瓣对消，平面阵的三维天线方向图计算。(The simulation consists of three single-pulse source are angle measurement based on MMSE criterion adaptive sidelobe cancellation of the three-dimensional antenna, planar array of chart calculations.)

详细说明:使用matlab实现的LDA(线性判别分析)分类器,以及PCA的实现(matlab implementation of the LDA algorithm and the realization of the linear Discriminant Analysis)

Technical Report Multi-Carrier Position-Based Packet Forwarding Protocol For Wireless Sensor Networks

数学建模中的各种经典算法，其中涵盖许多经典模型的建立和源代码。(Mathematical modeling in a variety of classical algorithms, which covers many classic models to build and source code.)