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PUMAdemos
PUMA(Phase Unwrap Max Flow) for matlab
- 2010-12-06 17:05:59下载
- 积分：1
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212
说明： （2,1，2）归零卷积码的维特比译码算法matlab实现((2,1,2) convolutional codes Viterbi decoding)
- 2010-04-07 21:01:09下载
- 积分：1
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rossler
说明： 混沌工具function [x,y,z]=rossler(n,level,a,b,c,x0,y0,z0,h)(function [x,y,z]=rossler(n,level,a,b,c,x0,y0,z0,h))
- 2010-04-25 23:56:19下载
- 积分：1
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eigenfaces_sample
Eigenfaces is used to representing a face by projecting original images onto a face space defined by eigenvectors, and then a new face is compared to known faces by calculating the distance between their projections onto face space. (Eigenfaces is used to representing a face b y original projecting images onto a face space d efined by eigenvectors. and then a new face is compared to known faces by c alculating the distance between their project ions onto face space.)
- 2007-05-18 06:45:01下载
- 积分：1
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OMP
this code is an important algorithm in compressed sensing
- 2015-03-03 13:28:00下载
- 积分：1
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mfiles
mfiles useful for finding huffman code
- 2010-02-02 16:04:54下载
- 积分：1
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QPSK_OQPSK_Envelope
用MATLAB程序实现了QPSK以及OQPSK的调制(Realize the QPSK and OQPSK modulation)
- 2012-03-21 19:30:49下载
- 积分：1
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MATLAB_movie
这MATLABsimulink的一些动画的基本操作，非常有趣，也会提高你对MATLAB的学习兴趣~(The basic operation of this MATLABsimulink some animation, very interesting, will improve your MATLAB interest in learning to)
- 2013-01-07 11:48:35下载
- 积分：1
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63215774routing
Abstract—We propose two novel energy-aware routing algorithms for wireless ad hoc networks, called reliable minimum energy cost
routing (RMECR) and reliable minimum energy routing (RMER). RMECR addresses three important requirements of ad hoc networks:
energy-efficiency, reliability, and prolonging network lifetime. It considers the energy consumption and the remaining battery energy of
nodes as well as quality of links to find energy-efficient and reliable routes that increase the operational lifetime of the network. RMER,
on the other hand, is
- 2015-04-03 18:19:34下载
- 积分：1
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NR_power-Flow
x0 = ones(2,2) Make a starting guess at the solution
options = optimset( Display , off ) Turn off Display
[x,Fval,exitflag] = fsolve(@myfun,x0,options)
The solution is
x =
-0.1291 0.8602
1.2903 1.1612
Fval =
1.0e-009 *
-0.1619 0.0776
0.1161 -0.0469
exitflag =
1
and the residual is close to zero.
sum(sum(Fval.*Fval))
ans =
4.7915e-020
- 2014-02-22 08:37:54下载
- 积分：1
