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AnalgorithmusingtheSchurcomple-
LDPC(Low-density-parity-check，低密度奇偶校验)码是一类具有稀疏校验矩阵的线性分组码，不仅有逼近Shannon限的良好性能，而且译码复杂度较低，结构灵活，是近年信道编码领域的研究热点(LDPC (Low-density-parity-check, low-density parity check) codes are a class of sparse check matrix of linear block codes, is not only good performance approaching Shannon limit, and the decoding complexity low, flexible structure , the field of channel coding in recent years the research focus)
- 2010-08-31 10:15:06下载
- 积分：1
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MATLAB
学习用MATLAB进行数字信号处理的源码(The source of learning to use MATLAB for digital signal processing )
- 2009-10-10 11:07:59下载
- 积分：1
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Matlabchengxuyuanma100ge
txt格式，均为源码，带注解！共包括100个整。(txt format, all source code, with comments! A total of 100 whole.)
- 2008-12-22 12:29:52下载
- 积分：1
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Matlab讲义高级
说明： 一个很好的例子,是一本报书籍上的,大家好好看看啊 ,一定不回失望的啊 (a good example of this is the one on the books, we see a good ah, we do not return disappointed ah)
- 2005-11-11 10:50:27下载
- 积分：1
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matlab1011
MATLAB数值分析与应算习题代码10 11节，用于学习交流，不可用商业用途。(MATLAB Numerical Analysis and Problem code 1011 should be considered section for learning exchanges, can not be used for commercial purposes.)
- 2010-05-14 13:42:00下载
- 积分：1
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FSM
使用频域平滑的方法来实现信号循环谱估计的算法(The smooth frequency domain signal cyclic spectrum estimation algorithm)
- 2013-04-01 16:58:59下载
- 积分：1
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CommunicationsPToolbox4-User_s-Guide
关于matlab通讯工具箱主要功能和函数用法介绍Communications+Toolbox4 User_s Guide(To introduce Communications+Toolbox4 User_s Guide matlab communication toolbox functions and function usage)
- 2012-11-04 14:21:33下载
- 积分：1
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Smmse-precoding
successive mmse precoding for Nt Nr transmit and receiver antennas for multi user mimo
- 2020-12-15 21:19:14下载
- 积分：1
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ImprovedDL
这是一篇SCI文章《改善字典学习：多字典更新和系数重用》里的Matlab代码，包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码，是图像稀疏表示研究方向重要的源代码，有助于大家学习和改进。(This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse".It contains codes of the OMP, Batch code- OMP, CoROMP matching pursuit algorithm and improved K- SVD dictionary learning algorithm ,This is the important source code of image sparse representation ,which can help you learn and improve.
)
- 2013-07-18 15:42:19下载
- 积分：1
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Coordinate-conversion
坐标转换（四参数）
[row col]=size(source)
for i=1:row
u(i)=source(i,2)
v(i)=source(i,3)
x(i)=source(i,4)
y(i)=source(i,5)
B(2*i-1,1)=1
B(2*i-1,2)=0
B(2*i-1,3)=u(i)
B(2*i-1,4)=-v(i)
B(2*i,1)=0
B(2*i,2)=1
B(2*i,3)=v(i)
B(2*i,4)=u(i)
L(2*i-1,1)=x(i)
L(2*i,1)=y(i)
end
X=inv(B *B)*(B *L)
Txy=[X(1) X(2)]
xzjz(1,1)=X(3)
xzjz(1,2)=-X(4)
xzjz(2,1)=X(4)
xzjz(2,2)=X(3)
[row1 col1]=size(target)
for i=1:row1
u1(i)=target(i,2)
v1(i)=target(i,3)
d=[u1(i) v1(i)]
md=Txy+xzjz*d
end
end
(Coordinate conversion：
[row col]=size(source)
for i=1:row
u(i)=source(i,2)
v(i)=source(i,3)
x(i)=source(i,4)
y(i)=source(i,5)
B(2*i-1,1)=1
B(2*i-1,2)=0
B(2*i-1,3)=u(i)
B(2*i-1,4)=-v(i)
B(2*i,1)=0
B(2*i,2)=1
B(2*i,3)=v(i)
B(2*i,4)=u(i)
L(2*i-1,1)=x(i)
L(2*i,1)=y(i)
end
X=inv(B *B)*(B *L)
Txy=[X(1) X(2)]
xzjz(1,1)=X(3)
xzjz(1,2)=-X(4)
xzjz(2,1)=X(4)
xzjz(2,2)=X(3)
[row1 col1]=size(target)
for i=1:row1
u1(i)=target(i,2)
v1(i)=target(i,3)
d=[u1(i) v1(i)]
md=Txy+xzjz*d
end
end
)
- 2014-12-12 19:02:28下载
- 积分：1
