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poiss
用matlab绘制泊松分布Poisson distribution图形(Poisson distribution)
- 2009-09-04 21:33:57下载
- 积分:1
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KEiVvykP
matlab程序中图形处理解析 关于图形处理的各种方法(matlab process graphics processing on graphics processing to resolve the various methods)
- 2008-06-18 16:00:49下载
- 积分:1
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MatLabDSP
基于MatLab与DSP的滤波器的快速设计方法(MatLab and DSP-based filter design method of rapid)
- 2008-06-28 16:21:33下载
- 积分:1
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matlabneuralnetworkdirector
说明: 这是一本matlab神经网络工具箱使用指南(This is a matlab Neural Network Toolbox User)
- 2008-11-04 09:38:41下载
- 积分:1
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Rayleigh_distribution_of_white_noise
由一个0到1均匀分布随机变量直接抽样产生瑞利分布白噪声,以及自相关函数和功率谱(Directly sampling a Rayleigh distribution of white noise uniformly distributed random variables from a 0-1, and the autocorrelation function and power spectrum)
- 2012-03-31 20:45:05下载
- 积分:1
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ODE4
Matlab中的四阶龙格库塔法m文件。 (Matlab in the fourth-order Runge-Kutta method m file.)
- 2007-11-25 13:45:45下载
- 积分:1
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John.Wiley.and.Sons.Radio.Network.Planning.and
说明: UMTS无线网络规划与优化,英文版,本书还附有静态系统级仿真的matlab程序,功能很强大,网上可以下载到
John.Wiley.and.Sons.Radio.Network.Planning.and.Optimisation.for.UMTS.2nd.Edition.pdf(John.Wiley.and.Sons.Radio.Network.Planning.and.Optimisation.for.UMTS.2nd.Edition.pdf)
- 2009-07-31 16:08:55下载
- 积分:1
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MIMO-OFDM-
关于MIMO-OFDM通信中信道、空时编码等MATLAB程序。集合了《MIMO-OFDM无线通信技术及MATLAB实现》里面所以MATLAB程序。(On the channel, space-time coding in MIMO-OFDM communication MATLAB program. A collection of MIMO-OFDM wireless communication technology and MATLAB to achieve which so MATLAB program.)
- 2015-04-21 19:50:36下载
- 积分:1
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11maSIFT
说明: 结合PCA的尺度不变特征变换(SIFT)算法源代码,可用于图像目标检测和识别(Combined with PCA scale invariant feature transform (SIFT) algorithm source code, can be used for image target detection and recognition)
- 2020-09-24 10:55:36下载
- 积分:1
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mini2
clear all
clc
t=0:1/1000:10-1/1000
s=sin(2*pi*t)
snr=20
s_power=var(s) varience of s
linear_snr=10^(snr/10)
factor=sqrt(s_power/linear_snr)
noise=randn(1,length(s))*factor
x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù
x1=noise Ô ë É ùÔ ´ Ê ä È ë
x2=noise
w1=0 È ¨Ï µ Ê ý ³ õ Ö µ
w2=0
e=zeros(1,length(x))
y=0
u=0.05
for i=1:10000 LMSË ã ·¨
y(i)=w1*x1(i)+w2*x2(i)
e(i)=x(i)-y(i)
w1=w1+u*e(i)*x1(i)
w2=w2+u*e(i)*x2(i)
end
figure(1)
subplot(4,1,1)
- 2010-10-26 16:41:03下载
- 积分:1