GPS码捕获，跟踪代码算法的仿真

A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

一篇国外的风力机非线性控制文章，很有参考意义。(A foreign wind turbine nonlinear control article, very useful.)

discrete timing control system with matlab

matlab用户图形界面用法的一个小例子。用到了文本框、滚动条等控件，对刚开始学习matlab有一定的帮助。(matlab graphical user interface uses a small example. Used in the text boxes, scroll bars, and other controls, just started learning matlab have some help.)

实现频分复用的调制的matlab的程序代码，带英文注释．(Realize the OFDM modulation matlab code, with English Notes.)

该函数的功能是利用matlab实现图像的快速有效的分割(Function of the function is to use matlab to achieve fast and efficient image segmentation)

说明：  怎么在函数中加入高斯噪声，白噪声，比较它们的性质，并求它们的相关性(how to insert gaosi noise,white noise and then how to konw their correlation)

cameron分解matlab源代码，自己编写的，效果还行(cameron decomposition)

一个利用元胞自动机仿真matlab程序，有详细动画效果！很好玩哦！很棒哦！(Using cellular automata model to simulate the traffic flow situation, to achieve overtaking, and finally generate the empty spots in Figure)

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.)