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LMS
removal of noise by using robust techniques
- 2011-08-06 20:36:35下载
- 积分：1
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fuzzycon
是用matlab编写的模糊控制源程序，对模糊控制的matb编程很有帮助(Fuzzy control matlab source)
- 2010-06-24 22:50:27下载
- 积分：1
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LDMGI
ldmgi的MATLAB算法和相关的源程序(ldmgi of MATLAB algorithms and source code related to)
- 2010-11-06 16:36:25下载
- 积分：1
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gaussrand_gui
This code is about Gaussian Random
- 2013-01-12 02:07:50下载
- 积分：1
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1996-Nonlinear_Systems
本书为经典的非线性系统书籍，1996年出版。(This book is a classic nonlinear system books, published in 1996.)
- 2013-04-08 21:17:02下载
- 积分：1
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picture
用MATLAB对两幅图片进行图像匹配,程序运用了两种匹配算法:1.基于灰度值的模板匹配2.模板匹配的改进算法
采用界面输入输出方式(Using MATLAB for image matching two images, the program uses two types of matching algorithm: 1. Based on the gray value of the template matching 2. Template matching algorithm to improve the way input and output interface)
- 2021-03-28 19:49:11下载
- 积分：1
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IIR
1、不同阶次模拟巴特沃兹滤波器的频率响应
2、根据模拟滤波器指标，设计低通巴特沃兹滤波器
要求通带截止频率 fp = 5kHz, 通带最大衰减 ɑp =2dB， 阻带截止频率 fs= 12kHz, 阻
带最小衰减ɑs =30dB,按照上述指标设计巴特沃兹低通滤波器。
3、给定模拟滤波器，按照不同采样频率设计数字 IIR，观察采样频率对设计结果的影响
已知模拟滤波器传输函数 H(s)为
2
0.5012
( )
0.6449 0.7079
H s
s s
=
+ +
按照不同采样频率 Fs1=1Hz, Fs2=10Hz 使用脉冲响应不变法将 H(s)转换为 H(z)数字
IIR 滤波器。观察不同采样频率设计得到的数字 IIR 的差异。
4、给定数字 IIR 指标，用脉冲响应不变法设计 IIR。
数字低通滤波器的指标为: 0.2 , 1 , 0.3 , 15
p p s s
ω π α ω π α = = = = dB dB ,使用巴特沃
兹滤波器设计数字 IIR。比较采样频率 Fs=1， 2 时设计过程中的模拟滤波器，数字滤波
器的变化。
5、用双线性变换法设计 IIR，并同脉冲响应不变法比较设计的结果。数字滤波器指标要
求如下
0.2 , 1 , 0.3 , 15
p p s s
ω π α ω π α = = = = dB dB(1.Grasp the impulse response method and bilinear transformation design IIR filter principle and specific design methods, familiar with double
A computer program for designing lowpass, bandpass and highpass IIR digital filters by linear design;
2 . familiar with the design of analog Butterworth filter, master impulse response method and bilinear transformation method to design digital IIR
Filter method)
- 2021-01-05 16:48:54下载
- 积分：1
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RLS+MatriXReseting+ForgetFactor
this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result.
1- using the Covariance Matrix Reseting in a specefic time.
2-using the RLS with Forget Factor
this program is written by matlab 7.0.
Here we want to estimate the below function:
1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7
finally,there are plots for showing results.
- 2010-08-26 23:21:29下载
- 积分：1
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powell
powell code for matlab
- 2010-11-28 04:44:13下载
- 积分：1
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hjkds
说明： 历年数学建模解题程序代码：电力分派与管理，MATLAB程序1(Mathematical modeling problem-solving year code: electricity distribution management, MATLAB 1)
- 2009-08-03 23:18:29下载
- 积分：1
