gaussplot

The care and feeding of digital,pulse-shaping filters

绘制极坐标图函数，绘制多条时，是将参数组成行向量(Draw polar plot function to draw multiple parameters composed of row vectors)

波束成形在多天线MIMO环境下的，接收端合并与检测技术(Under the multi-antenna beamforming MIMO environment, merged with the receiver detection technology)

Power System Stability for the Islanding Operation of Micro Grids

利用最小二乘算法实现对三维平面的拟合，计算多重分形非趋势波动分析matlab程序,最小均方误差等算法的MSE的计算。( Least-squares algorithm to fit a three-dimensional plane, Calculation multifractal detrended fluctuation analysis matlab program, Minimum mean square error MSE calculation algorithm.)

终于找到了mpsk信号的调制，一家外国网上的，有用的就下，大家多交流啊(Finally found a MPSK signal modulation, a foreign line and useful on the next, more than U.S. exchanges ah)

RAKE receiver for DS-SS systems - rev1.0(RAKE receiver for DS-SS systems- rev1.0)

MATLAB图像处理-基于高频强调滤波和直方均衡化图像增强(MATLAB image processing- based on high frequency emphasis filtering and histogram equalization image enhancement)

对候选人得票进行统计，设有3个候选人，最终只能有1人当选为领导。(Statistics on the number of votes a candidate with three candidates, we can only have one person elected as leader.)

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.)