dgnc_cls

由于通常的通信信道的冲激响应的稀疏性，使得NLMS算法的收敛速度还有待提高。所以，近年来，有学者提出了成比例的归一化的均方误差算法(PNLMS)。PNLMS在自适应过程的开始阶段有着很快的收敛的速度，但是迭代过程越往后，收敛速度越慢。于是，众多学者提出了许多的改进算法。本程序是通过matlab仿真对近年来流行的PNLMS,IPNLMS,MPNLMS等算法进行的仿真程序(As usual communication channel impulse response sparse, making the convergence rate of NLMS algorithm to be improved. Therefore, in recent years, some scholars have proposed a proportional to the normalized mean square error algorithm (PNLMS). PNLMS the beginning of the adaptive process has a fast convergence speed, but the more backward iterative process, convergence slower. Thus, many scholars have made many improvements in algorithms. Matlab simulation of this program is popular in recent years PNLMS, IPNLMS, MPNLMS other algorithms of the simulation program)

Matlab讲义高级第2章，大家分享一下(Matlab senior notes in Chapter 2, we share)

matlab实现特征值的计算，对于初学者非常有用。从书上下载的源代码。(Feature is matlab calculation, is very useful for beginners. Downloaded from the book source code.)

捷联式惯性导航力学编排方程代码,自己编写的，对初学者有帮助(Inertial navigation equations of mechanics choreography code, I have written to help beginners)

阵列信号处理算法中的LCMV算法，仿真场景：8元均匀线性阵列，阵元间距为1/2波长，干扰入射方向为45度，干噪比为40dB。附报告、源程序、仿真截图，内容详尽，希望对您学习有所帮助。(Array signal processing algorithm LCMV algorithm simulation scenarios: 9 element uniform linear array, the array element spacing is 1/2 wavelength, the interference incident direction of 45 degrees, interference and noise ratio of 40dB. Attached report, source code, simulation screenshots, detailed, hope to help you learn.)

基于遗传算法的多目标优化算法（matlab）(Based on genetic algorithm for multi-objective optimization algorithm (matlab))

说明：  matlab——元包自动机-动态再结晶-主程序(matlab- cellular automata- dynamic recrystallization- the main program)

基于前推回代发的潮流计算 可计算网损和节点电压，节点有功无功(Calculate calculate net loss and node voltage, active and reactive nodes based on forward and backward substitution hair trend)

无约束优化问题，对新手有一定的帮助作用，希望大家共同交流(Unconstrained optimization problem, certainly helps the novice role, I hope you and share their)

matlab常用函数表，对于初学者，真的很有帮助哦(matlab function table used for beginners, really helpful oh)