LP01

功能描述：测试LMS与RLS算法，比较两种算法的收敛特性 文件名：LMS_RLS_sim.m 测试用例： x(n)+a1*x(n-1)+a2*x(n-2)=e(n)，a1=-1.6,a2=0.81,e(n)为高斯白噪声 文件输出：系数a1的值 调用函数：function [A] = LMS_Algo(M,N,mu,xn) 被调用：无 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )

通信仿真中的混沌数字键控Matlab分析程序，包括时域和频域(Chaos digital key analytical procedures)

is an algorithm in signal processing

说明：  simulink的基础教程，很初级和适合新手学习(simulink tutorial basis, it is suitable for beginners to learn the primary and)

广义预测控制的matlab源程序，可以很容易的修改成自己的应用(Generalized Predictive Control matlab source, can be easily modified into their own applications)

国外高校老师编写的语音信号特征提取程序，非常实用初学者研究( [E, V, A, P] = analysis(x, N, U, M) extracts vocoder parameters E, V, A, and P from the speech signal x on a frame by frame basis. N is the analysis frame length, U is the update length, and M is the order of the linear prediction analysis. The return arguments are the extracted parameters, where E, V, and P are vectors with "n_frames" (the number of analysis frames, see code below) elements, A is a (n_frames, M+1) size matrix (includes the leading 1 of the polynomial).)

利用matlab仿真工具 实现图像配准 (Matlab simulation tools used to achieve image registration)

This GUI can be used to regulate any controllable, nonlinear system to the origin.* It uses a switched Lyapunov control function. The nonlinear system can be of any order and with any number of inputs. There are some beta options as well, including adaptation. The beta features have not been well-tested nor mathematically proven but they can be useful in practice.

该代码是对文章Kernel-based fuzzy and possibilistic c-means clustering的实现(the code of Kernel-based fuzzy and possibilistic c-means clustering)

Harris角点检测，用于图像的匹配等！ 直接运行，没有错误！(Harris corner detection for image matching! Run directly error!)