Conventional-Optimal-Power-Flow-Analysis-Using-th

在一种变步长LMS 算法的基础上，引进动量因式，提出了一种新的改进LMS 的算法。新算法整体性能优 于变步长LMS 算法以及LMS 算法。通过理论分析，比较了新的算法和变步长LMS 算法以及LMS 算法的收敛性 和稳态性，提出了一种设想以提高新算法的稳态性。仿真试验证明了新算法的优越性以及设想的在仿真条件下的正 确性。(In a variable step size LMS algorithm, based on the introduction of momentum factor, a new improvement of LMS algorithms. The overall performance of the new algorithm is superior to variable step size LMS algorithm and LMS algorithm. Through theoretical analysis, comparing the new algorithm and variable step size LMS algorithm and LMS algorithm convergence and steady-state, and proposes a new algorithm is envisaged to enhance the steady-state nature. Simulation tests proved the superiority of the new algorithm, as well as envisaged under the conditions in the simulation is correct.)

程序内容是对信号的波束域检测，其中阵元数32，信号为宽带信号(Program content is the signal beam field testing, which array element number 32, the signal is wideband signals)

This is a code for AODV Routing. It works with matlab. Enjoy it.

this function calculate unit root for vector Y by metods: ADF (Augmented Dickey-Fuller) and PP (Phillips-Perron) also this function determine max lag for Y aoutomaticaly[Hayashi(2000)]

给定初始条件和常量，运用matlab函数ode45对酶促反应进行求解，同时确定反应达到99.9 底物转化率所需要的时间。(A given initial conditions, and constants, the enzymatic reaction is solved using matlab ode45 function, at the same time to determine the reaction substrate conversion the time required to 99.9 . )

说明：  用于拉曼光谱的处理，包括去除荧光背景，自动拟合并自动储存结果。(For the treatment of Raman spectroscopy, including the removal of the background fluorescence, automatic fitting results of automatic storage.)

mimoofdm仿真，主要是不同信道估计的对比，可以运行(mimoofdm simulation, mainly comparing different channel estimation can run)

多个尺度连续小波变换的实现。其中构造墨西哥帽子小波函数(1-D continuous wavelet transform code.)

rayleigh，matlab的仿真，程序简单，容易实现，并易懂(rayleigh, matlab simulation, the program is simple, easy to implement and easy to understand)

使用深度神经网络解决无线网络中资源分配问题(Using deep neural networks to solve the problem of resource allocation in wireless networks)