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lmseq
lmseq.m 均衡算法 用lms算法实现(lmseq.m Equalization Algorithm with lms )
- 2010-05-18 19:36:14下载
- 积分：1
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matlab_programming
Ebook - Matlab programming for engineers - 2nd edition by Stephan J. Chapman
- 2011-05-17 06:49:58下载
- 积分：1
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pdf_deconv
PDF反卷积法用于去除时基抖动得处理，使用matlab进行编写，希望对大家有所帮助(PDF deconvolution method was used for the removal of jitter handling, use matlab to write, we want to help)
- 2015-01-26 16:34:00下载
- 积分：1
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fuMainSetup
maiun setup converter unusful
- 2015-05-17 21:19:25下载
- 积分：1
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Mybp
说明： 用c语言实现matlab，毕业设计很有用(C language with matlab, graduate design useful)
- 2011-04-11 19:39:10下载
- 积分：1
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PF_coding
关于粒子滤波（PF）的matlab程序，说明了粒子滤波的基本算法。(About particle filter (PF) of matlab program shows the basic particle filter algorithm.)
- 2009-03-24 18:34:31下载
- 积分：1
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tuxiangronghe
说明： 该文件介绍图像融合的编程，希望大家对大家有帮助。(This document describes the fusion of programming, I hope you help all of us.)
- 2011-03-13 19:35:10下载
- 积分：1
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gvfsnakeMATLAB
gvf snake 邊緣檢測範例(包含範例圖)(1. Introduction and Installation Instructions
----------------------------------------------
Welcome to the Gradient Vector Flow (GVF) Active Contour Toolbox. The
Matlab*.m files in this software distribution implement our GVF snake,
the original (Kass, Witkin, and Terzopoulos) snake, the balloon snake,
and the distance snake. These programs were designed, written and tested
by Chenyang Xu and Jerry Prince.
To install this software, simply unzip the file into an empty directory,
making sure to ask your unzipper program to restore the directory
structure of the zipped files. In this documentation, we will assume
that you have unzipped the files into C:GVF.
2. Documentation
----------------
We have included two research papers that describe GVF. You can find
these in C:GVFpapers.
Brief descriptions of the software modules can be found in this file
below. For more detail, you should run Matlab, add the path
C:GVFsnake, and type "help function-name". F)
- 2010-05-23 17:28:24下载
- 积分：1
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CHAP9_1
伺服系统非线性Lugre摩擦力模型仿真 matlab(servo system Lugre friction model nonlinear simulation Matlab)
- 2006-11-22 16:57:13下载
- 积分：1
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Ritz_solution
Ritz法解决-u +u=x 0<x<1，u(0)=0,u(1)=0的有限元边值问题。精确解为u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x，基函数为g(i)=sin(i*pi*x)(This matlab code is used to solve the boundary value problem of the differential equation:
-u +u=x 0<x<1，u(0)=0,u(1)=0, where the accurate solution is :
u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x)
- 2011-05-30 20:14:35下载
- 积分：1
