image-segmentation

用matlab中的基本数学包实现-PCA，有助于理解PCA原理。 (Using matlab in the realization of the basic mathematical package-PCA, help to understand the principles of PCA.)

基于MATLAB SIMULINK的 飞行控制系统仿真分析(MATLAB SIMULINK-based simulation analysis of the flight control system)

对流行的HARRIS角点算子的MATLAB一种实现方法,效果不错(HARRIS corner of the popular MATLAB operator of an implementation method, good results)

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.)

基于matlab的多孔算法，matlab，matcom(based on the porous Matlab algorithms, Matlab, matcom)

Its IEEE paper on Control of An Islanded Distributed Energy Resource Unit with Load Compensating Feed-Forward

ofdm调制方式识别的matlab仿真程序，即ofdm信号与单载波信号之间的识别，利用的是高阶累积量作为特征参数(Ofdm modulation mode recognition of matlab simulation program, that is, between ofdm signal with single carrier signal recognition, using the high-order cumulants as characteristic parameters)

分布式视频编码的研究,对初学者是一个不可多得的好教材(Distributed Video Coding for beginners is a rare good teaching material)

说明：  利用遗传算法，对一个函数求取极值的一种方法，考虑到普通遗传算法中初始种群，对极值影响较大，程序的采用了多个初试种群同时学习，相互比较以求取极大值。(use of genetic algorithm, a function of a strike extreme methods, taking into account the general genetic algorithm initial population, Extreme right big impact and the procedures used to try various species while learning, in order to obtain comparable value.)

一阶sigma-delta ADC 算法仿真程序及量化台阶可视化(oneorder sigma-delta ADC simulation code and quatity ladder)