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LMS_RLS_sim
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 )
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lowpassfilter
利用matlab设计FIR低通滤波器和IIR低通滤波器。编译通过。(matlablowpass filter)
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fan
球赛门票的售票处规定每位购票者限购一张门票,且每张门票售价 50元。购票者中有
m位手持50元钱币,另有n人手持100元。假设售票处开始售票时无零钱。问这m+n人有
几种排队方式可使售票处不致出现找不出钱的局面。(The box office ticket sales are limited to the provisions of each ticket purchase a ticket, and the price of 50 yuan per ticket. Ticket-holders have m-bit hand-held 50 coins, and another n armed with 100 yuan. Suppose no small change when the ticket office began selling tickets. M+ n asking a few people queuing up outside ticket office can not find the money to avoid a situation.)
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- 积分:1
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matlab-code-for-image-retrieval
Coding for image retri
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zgydy
基于欧拉原理,利用lingo,求解中国邮递员问题,简单实用。(solving Chinese postman problem .)
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cavity
说明: 此程序能够处理流体力学中顶盖驱动流的动力学过程,并用程序形象的描述出来。(This program can handle lid-driven flow of fluid mechanics, the dynamic process, and describe the image with the program.)
- 2010-03-20 14:08:25下载
- 积分:1
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chapter08
matlab 数值分析于应用中的一些很用的 基本代码。(Matlab numerical analysis in the application of some very basic code.)
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shape
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porkchop
首先声明此并非原创!(侵删!)但是这个资源非常非常难找。是我从外网找了很久down下来的。地球-火星发射机会搜索并做出著名的猪排图(porkchop图)。内有教程(英文),非常清楚。另外我也将星历文件de421.bin整合进去了。可以直接运行。(porkchop , DE421, Earth-Mars)
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WOA算法
说明: 鲸鱼优化算法(WOA)也是一种元启发式优化算法。一种新的模拟座头鲸狩猎行为的元启发式优化算法(鲸鱼优化算法,WOA)。目前的工作与其他群优化算法相比的主要区别在于,采用随机或最佳搜索代理来模拟捕猎行为,并使用螺旋来模拟座头鲸的泡泡网攻击机制。(Whale optimization algorithm (WOA) is also a meta heuristic optimization algorithm. A new meta heuristic optimization algorithm (whale optimization algorithm, WOA) is proposed to simulate the hunting behavior of humpback whales. The main difference between the current work and other swarm optimization algorithms is that the random or optimal search agent is used to simulate the hunting behavior, and the spiral is used to simulate the bubble net attack mechanism of humpback whales)
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