登录
首页 » matlab » 信息隐藏AMENDE

信息隐藏AMENDE

于 2020-07-02 发布 文件大小:3795KB
0 173
下载积分: 1 下载次数: 44
我要下载

代码说明：

  在matlab中实现文本、音频、图片、视频的隐写和恢复(Implement the text, audio, picture, and video steganography)

文件列表：

信息隐藏AMENDE\信息隐藏AMENDE\1.txt, 24 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\1.wav, 352844 , 2014-12-10
信息隐藏AMENDE\信息隐藏AMENDE\2.wav, 691532 , 2014-12-10
信息隐藏AMENDE\信息隐藏AMENDE\about.txt, 0 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\average_psnr.m, 1433 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\bmp.fig, 11782 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\bmp.m, 15939 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\bupt.bmp, 758 , 2014-12-10
信息隐藏AMENDE\信息隐藏AMENDE\DCTout.jpg, 48618 , 2017-04-21
信息隐藏AMENDE\信息隐藏AMENDE\embed_3DDCT_5frame_YUV.m, 2165 , 2014-12-15
信息隐藏AMENDE\信息隐藏AMENDE\extractdctadv.m, 981 , 2014-12-13
信息隐藏AMENDE\信息隐藏AMENDE\extract_3DDCT_5frame_YUV.m, 998 , 2014-12-15
信息隐藏AMENDE\信息隐藏AMENDE\hallo.bmp, 78107 , 2014-11-26
信息隐藏AMENDE\信息隐藏AMENDE\hallo.jpg, 78107 , 2014-12-14
信息隐藏AMENDE\信息隐藏AMENDE\help.txt, 518 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\hidedctadv.m, 1944 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\jpg.fig, 10790 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\jpg.m, 16084 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\loadFileYUV.m, 4638 , 2011-11-09
信息隐藏AMENDE\信息隐藏AMENDE\loadyuv.m, 387 , 2011-11-10
信息隐藏AMENDE\信息隐藏AMENDE\lsbget.m, 1022 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\lsbhide.m, 1225 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\main.fig, 3450 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\main.m, 6356 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\main_DCT_3D_embed_yuv.m, 2310 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\main_DCT_3D_extract_yuv.m, 1371 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\message.txt, 40 , 2014-12-13
信息隐藏AMENDE\信息隐藏AMENDE\NC.m, 258 , 2007-05-10
信息隐藏AMENDE\信息隐藏AMENDE\new.bmp, 66614 , 2006-01-04
信息隐藏AMENDE\信息隐藏AMENDE\PSNR.m, 997 , 2010-09-11
信息隐藏AMENDE\信息隐藏AMENDE\randinterval.m, 983 , 2009-11-10
信息隐藏AMENDE\信息隐藏AMENDE\readme.txt, 1301 , 2014-12-25
信息隐藏AMENDE\信息隐藏AMENDE\suzie.yuv, 5702400 , 1998-07-30
信息隐藏AMENDE\信息隐藏AMENDE\Vector2Matrix.m, 178 , 2014-12-10
信息隐藏AMENDE\信息隐藏AMENDE\wav.fig, 9513 , 2014-12-19
信息隐藏AMENDE\信息隐藏AMENDE\wav.m, 9477 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\wavextract.m, 614 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\wavhiding.m, 693 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\YD(18_22).bmp, 1512 , 2011-11-13
信息隐藏AMENDE\信息隐藏AMENDE\yuv.fig, 9199 , 2014-12-19
信息隐藏AMENDE\信息隐藏AMENDE\yuv.m, 9071 , 2014-12-18
信息隐藏AMENDE\信息隐藏AMENDE\YUVFormat.m, 932 , 2011-11-09
信息隐藏AMENDE\信息隐藏AMENDE, 0 , 2017-04-23
信息隐藏AMENDE, 0 , 2017-04-23

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • first
    二维傅里叶变换,对图像进行二维傅里叶变换处理(Two-Dimensional Fast Fourier Transform The purpose of this project is to develop a 2-D FFT program "package" that will be used in several other projects that follow. Your implementation must have the capabilities to: (a) Multiply the input image by (-1)x+y to center the transform for filtering. (b) Multiply the resulting (complex) array by a real function (in the sense that the the real coefficients multiply both the real and imaginary parts of the transforms). Recall that multiplication of two images is done on pairs of corresponding elements. (c) Compute the inverse Fourier transform. (d) Multiply the result by (-1)x+y and take the real part. (e) Compute the spectrum.)
    2010-11-27 23:15:03下载
    积分：1
  • fecgm
    独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)
    2010-05-27 23:08:51下载
    积分：1
  • 相图、分岔图
    非线性动力学控制理论中的相图和分岔图绘图代码(Drawing Code for Phase Diagram and Bifurcation Diagram of Nonlinear Dynamics Theory)
    2021-04-07 16:19:01下载
    积分：1
  • crange
    MATLAB雷达信号处理，源代码非常好用建议下载。(MATLAB radar signal processing, the source code download is very useful recommendations.)
    2009-03-31 10:35:40下载
    积分：1
  • qamandqpm
    在加性高斯白噪声信道里，BPSK调制信号与MPSK调制信号的比较(in the awgn channel , bpsk system vs mpsk)
    2010-10-10 21:57:15下载
    积分：1
  • Quatre_QAM_AWGN
    modulation ofdm qutre qam sur canal awgn
    2012-01-09 04:51:59下载
    积分：1
  • Levinson_Durbin_Algo
    功能描述：用matlab语言实现Levinson-Durbin算法 函数名：Levinson_Durbin_Algo 输入参数： (1)R:自相关矩阵或者其估计值 (2)P:AR模型的阶数 输出参数： (1)A:p阶AR模型的参数,它是一个长度为P+1的行向量 (2)E:噪声功率 调用函数：无 被调用：L_D_sim.m 作者：mingcheng 编写时间：2009-11-13 修改时间：2009-11-13 版本：V1.0 (Function Description: The matlab language Levinson-Durbin algorithm function name: Levinson_Durbin_Algo Input parameters: (1) R: correlation matrix or its estimated value (2) P: AR model orders output parameters: (1) A: p-order AR model parameters, it is a line of length P+1 vector (2) E: noise power call the function: No to be called: L_D_sim.m Study: mingcheng write time :2009-11-13 modified :2009-11-13 version: V1.0 )
    2010-07-11 12:14:31下载
    积分：1
  • MATLAB-programming
    经典书籍——matlab编程技术（徐金明主编）(matlab programming)
    2013-01-29 12:01:02下载
    积分：1
  • ukf_GS
    Unscented Kalman Filter
    2012-01-11 06:48:33下载
    积分：1
  • 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
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！