GLCMhePSI

说明：  采用64QAM调制方式的OFDM系统的误比特率的仿真计算(OFDM with 16QAM modulation system, the simulation of bit error rate)

2篇比较经典的FMCW雷达合成孔径成像的文章(Two classic article FMCW radar synthetic aperture imaging)

使用matcom讲述MATLAB与VC++混合编程ppt格式文件(Matcom about using MATLAB and VC++ mixed programming ppt format)

若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成 W（n+1）=w（n）+ e（n）x（n） =w（n）+ （3.1） 式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。 (Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)

Implementation of a 3 phase dynamic voltage restorer inverter in matlab/simulink

matlab实现信号分类，根据信号的相关性，获取信号类别，自动进行信号分类(matlab realize signal classification, in accordance with the correlation signal to obtain the signal type, automatic signal classification)

floyd warshall algorithm

灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,(Gray prediction model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model,)

inverted wedge controlling parameters using pid controller.

cuda代码，实现合成孔径雷达CSA算法，点目标仿真(c++ code that implements the algorithm of synthetic aperture radar CSA, point target simulation)