matlab2010aword

在5db信噪比下，比较广义互相关算法的加权函数BOTH,SCOT,PHAT的性能。(In 5db SNR, comparing the generalized cross-correlation algorithm weighting function BOTH, SCOT, PHAT performance.)

用牛顿-拉夫逊算法求解线路中的潮流运算，能够求解各节点电压降，线路网络损耗(Newton- Raphson algorithm for computing the trend line, each node can solve the voltage drop line network losses)

说明：  使用matlab工具对sonar数据集进行kmeans分类(Kmeans classification of sonar data set with MATLAB)

说明：  35GHz毫米波的二维横断面成像点目标仿真程序(Simulation program of point target in 2D cross section imaging)

说明：  Mie散射模型，Christian Matzler版，附带Matlab Functions for Mie Scattering and Absorption 手册(Mie scattering model, Christian Matzler version, with Matlab Functions for Mie Scattering and Absorption Guide)

用FDTD解决一维电磁场传播问题的MATLAB实现(Solve one-dimensional electromagnetic field propagation using the FDTD)

计算Allan方差，用于导航数据分析，对于学习allan方差有一定帮助(Allan variance calculation for navigation data analysis, learning allan variance of some help)

NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。(NTKL method can simultaneously detect abnormal spectrum and abnormal reference data points and their common abnormal point, the basic idea of this method is based on the monte carlo sampling, sample set random be divided into calibration set and prediction set, using correction modeling, modeling and participated in the samples of the prediction error calculation, a thousands of times that of random sampling, each sample point can be obtained the prediction error distribution.If singular samples in correction, the model of quality will be affected.Singular samples in predicting concentration, on the contrary, if only for the sample prediction results are affected.)

该程序主要说明直扩系统抑制正弦干扰方面的有效性。绘出不同幅度的正弦干扰信号及无干扰时的误码率.( This procedure mainly showed that expands the system to suppress the sine disturbance aspect straight the validity. Draws the different scope the sine unwanted signal and does not have when the disturbance error rate. )

Q_learning algorithm for gid environment