PEP_ghost

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

对于双容系统的延迟系统采用PID串级控制，本程序采用matlab编程实现，效果很好(For double let system delay system adopts PID cascade control, this procedure using matlab programs, the effect is very good )

稀疏建模工具箱，是一个为解决各种稀疏估计问题的开源优化工具箱，可实现字典学习与矩阵分解；使用LARS、快速下降法、OMP、SOMP等算法解决稀疏分解问题；使用Lasso解决结构化稀疏分解问题( Dictionary learning and matrix factorization Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods Solving structured sparse decomposition problems )

产生有色噪声污染的谐波，并设计带通巴特沃斯滤波器和切比雪夫I型滤波器(Colored noise pollution generated harmonics, and to design band-pass Butterworth filter and Chebyshev-I filter)

运动误差补偿仿真 包含视线运动误差和航线运动误差，可选择单点仿真或者九点仿真 包含带有运动误差的回波产生程序和成像程序(Simulation of motion error compensation Contains the line of sight motion error and routes motion error, you can a single point simulation or emulation nine It contains the generator and echo imaging procedures with motion error)

最优波束形成的方法（包括谱加权，阵列多项式和z变换、波束空间的方向采样、最大最小设计等）(optimun array processing )

巴特利特波束成形基本代码,给初学者提供基本的参考，希望对大家有用(the bartlett beaformming code)

Source code to calculate PSD by the autocorrelation.

Griewank测试函数，经过实验已经可以使用，现在分享给大家啊(Griewank test function, after the experiment has been can now share with you ah)

matlab环境下利用中值滤波函数对黑色图像的还原处理(Matlab environment using median filtering function reduction treatment on black image)