examples_NFT2

libevent源码分析,具体的一般实现(libevent)

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.)

说明：  矩形脉冲串信号的模糊函数matlab代码(Rectangular pulse function of the fuzzy matlab code)

A COMPARISON OF STBC AND SFBC

基于MATLAB的航空发动机试车数据的线性回归研究(a paper about matlab)

svpwm仿真模型，以及基于svpwm的矢量控制模型。(svpwm simulation models, as well as vector control model based svpwm.)

说明：  Matlab学习宝典 插值与拟合 Matlab学习宝典(Learning Matlab Interpolation and Fitting Matlab Baodian learning Baodian)

粒子滤波算法、卡尔曼滤波算法,有相关比较，适合新手入门(Particle filter, Kalman filter algorithm)

d-statcom matlab simulation(matlab6)

说明：  计算阶次分析的案例，需要转速信号进行角度域重采样。(In the case of order analysis, the angle domain resampling of speed signal is needed.)