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LingoLindo
Lingo,lindo与数学建模，主要讲述lingo,lindo在数学建模中的应用以及一些关于lingo和lindo的函数等知识。(Lingo, lindo and mathematical modeling, primarily on the lingo, lindo in the Mathematical Modeling as well as some on the lingo and knowledge lindo function.)
- 2007-08-26 21:02:36下载
- 积分：1
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Test
RGB直方图，很直观的
大家可以下载 很简单(hist RGB)
- 2010-07-28 20:02:55下载
- 积分：1
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reflection
说明： 模拟光的折射，通过经典光学拟合光路的传输(Simulation of light refraction, through fitting the classical optical transmission of optical)
- 2010-04-07 17:01:49下载
- 积分：1
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zhang
张正友平面标定法，基于matlab的文件文档(ZhangZhengYou plane calibration method, based on the matlab documentation
)
- 2012-04-22 16:34:29下载
- 积分：1
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cybercrime
the file contains a pdf on cybercrime
- 2010-11-09 23:09:38下载
- 积分：1
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sgyread
two matlab code for reading sgy format data set in matlab you must then plot it
- 2010-12-01 21:24:03下载
- 积分：1
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delcam_flexlm_new_crack
delcam soft crack,very good.
- 2013-07-30 18:36:19下载
- 积分：1
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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 )
- 2010-07-11 12:15:54下载
- 积分：1
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GradientAdaptiveLaguerreLatticeFilter
Gradient Adaptive Laguerre Lattice Filter(
Description： Implements the order recursive adaptive laguerre filter from Fejzo and Lev-Ari (1997). Advantages:
*Fewer parameter to model than FIR filters modeling long impulse responses
*guaranteed stability, unique global minimum, small number of parameter for prescribed modelling error
*numerically robust & and low computational complexity ( O(M) ).
*Fast convergence (RLS equivalent) with no apriori learning rate required
*Order recursive, so filter coefficients are uncorrelated with each other, allowing for modular implementation.
Setting the pole parameter to 0 yields the standard classical gradient adaptive FIR algorithm.
Includes simple example on cross-talk resistant echo cancellation to show how to use it.
)
- 2009-11-19 11:49:44下载
- 积分：1
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BPSK.docx
BPSK modulation using matlab
- 2014-09-01 13:10:52下载
- 积分：1
