QPSK

说明：  一篇关于matlab命令的学习文档，很适合初学者，我是新手还没有太多这方面的源码，只好自己手头的学习资料和大家分享(A study document on the matlab command, it is suitable for beginners, I am a novice in this area have not so much the source, but to their own learning materials on hand to share)

IT IS TO TRAIN SOM NETWORK ON IMAGE .......

LMS自适应滤波器，实现的是去除信号噪声的功能，效果不错(Design of LMS Adaptive Filte)

说明：  蚁群算法在tsp（旅行商问题)的matlab程序。可以运行。(Ant colony algorithm in tsp (TSP) of the matlab program. Can run.)

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。(Extraction based on instantaneous information signal of seven characteristics: zero center normalized instantaneous amplitude of the maximum power spectral density, zero-center normalized standard deviation of the instantaneous rate of absolute zero center section of non-weak signal instantaneous phase nonlinear component absolute value of standard deviation, non-zero center section of the weak signal non-linear component of the standard deviation of the instantaneous phase, zero-center non-normalized absolute value of the weak signal section of the standard deviation of the instantaneous frequency of a signal segment of the normalized power spectral density of instantaneous frequency maximum, according to the signal QPSK and 16QAM in the XI-axis projection of the different performance of the proposed characteristic parameters.)

阵列信号处理常用的MUSIC算法，包括经典MUSIC，求根MUSIC，基于四阶累积量的MUSIC等(MUSIC usual array signal processing algorithms, including the classic MUSIC, Root MUSIC, based on fourth-order cumulant MUSIC etc.)

概率神经网络的分类预测-基于PNN变压器故障诊断(Probabilistic neural network classification and prediction- PNN transformer fault diagnosis based on)

MATLAB书籍7本，主要是基础的，其中MIT的很不错，每本书都有实例(MATLAB book seven, mainly based on, in which MIT is very good, there are examples of each book)

代码为实现了信道CLARKE模型的仿真代码(Code for the implementation of channel simulation code CLARKE)

将用matlab编译的N－R法用于潮流计算是以导纳矩阵为基础的，由于利用了导纳矩阵的对称性、稀疏性及节点编号顺序优化等技巧，使N－R法在收敛性、占用内存、计算速度方面的优点都超过了阻抗法，成为六十年代末期以后普遍采用的方法。(Matlab compiler will use the N-R method for power flow calculation is based on admittance matrix-based, due to the use of the admittance matrix of the symmetry, sparsity and node ID, such as sequential optimization techniques, so that N-R method in convergence , memory, computing speed advantages over the impedance method, the late sixties to become widely used method.)