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l1magic-1.1-(new)
L1-magic 是一个求解矩阵方程稀疏解的工具包，这是原作者发布的最新 MATLAB 源代码。(
l1 magic (new)
--------
This package contains code for solving seven optimization problems. A detailed explanation is given in the file l1magic.pdf.
)
- 2010-07-20 15:52:12下载
- 积分：1
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dsakf
％ 文件名：randlsbget.m
％ 程序员:余波
％ 编写时间:2007.6.25
％ 函数功能: 本函数将完成提取隐秘于上的秘密信息
％ 输入格式举例:result=( scover.jpg ,56, secret.txt ,2001)
％ 参数说明:
％ output是信息隐藏后的图象
％ len_total是秘密信息的长度
％ goalfile是提取出的秘密信息文件
％ key是随机间隔函数的密钥
％ result是提取的信息
function result=randlsbget(output,len_total,goalfile,key)
ste_cover=imread(output)
ste_cover=double(ste_cover)
％ 判断嵌入信息量是否过大
[m,n]=size(ste_cover)
frr=fopen(goalfile, a )
％ p作为信息嵌入位计数器将信息序列写回文本文件
p=1
％ 调用随机间隔函数选取像素点
[row,col]=randinterval(ste_cover,len_toal,key)
for i=:len_toal
if bitand(ste_cover(row(i),col(i)),1)==1
fwrite(frr,1, bit1 )
result(p,1)
else
fwrite(frr,0, bit1 )
result(p,1)=0
end
if p==len_total
break
end
p=p+1
end
fclose(frr)
()
- 2007-06-28 16:08:04下载
- 积分：1
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Henon_modified
a modified version of henon algorithm
- 2010-10-11 13:30:25下载
- 积分：1
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zongshuchu
倒立摆的模糊控制实现的是其位移速度角度角速度的控制(Inverted pendulum fuzzy control is the control of the speed of the displacement angle angular velocity)
- 2013-04-18 20:52:00下载
- 积分：1
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EE
基于最大似然函数算法的MATLAB仿真程序(failed to translate)
- 2013-05-07 23:14:52下载
- 积分：1
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xyz-to-neu
测绘常见坐标转换，实现XYZ坐标到NEU坐标的转换(Transformation from XYZ coordinates to NEU coordinates in surveying and mapping)
- 2020-11-03 02:29:52下载
- 积分：1
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greymodel11
GM（1,1）求解matlab代码，可计算最小二乘系数，添加了预测时间选择(GM (1,1) solve the matlab code, calculate the least squares coefficient, the timing of adding the prediction)
- 2011-08-16 10:39:46下载
- 积分：1
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wavelet-ideal-filter
小波域理想濾波器，用了WACEREC2和RICE小波工具包兩種方法實現(wavelet ideal filter using waverec2 & rice wavelet toolbox)
- 2012-11-13 19:21:37下载
- 积分：1
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EXAMPL_6
仿真模拟多径传播的信道特性，观察其眼图。(Simulation of multi-path transmission channel characteristics, to observe the eye diagram.)
- 2008-04-10 11:44:21下载
- 积分：1
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FIR_Filter
A 10th order FIR system, excited by a sum of 5 sinusoids. Assume any numeric
values for system coefficients and input signal parameters. The output of the system is
corrupted by Gaussian observation noise with zero mean and variance 2
σ v (consider 2
σ v = 0.1
and 1). The estimator has access to the input and noise corrupted output of the system.
However, the estimator has no knowledge about the system order, its coefficient values and
observation noise variance.
- 2010-10-31 21:53:52下载
- 积分：1
