CS

所属分类:波变换
开发工具:matlab
文件大小:16089KB
下载次数:678
上传日期:2012-02-28 11:25:53
上 传 者goobey
说明:  压缩感知代码,运用正交匹配追踪算法回复,简单易懂,很适合刚刚接触压缩感知的朋友参考。
(compressed sensing code)

文件列表:
压缩感知代码\17.pdf (281068, 2010-12-21)
压缩感知代码\21世纪新兴学科信号压缩感知的一个简单的实现例子CS_OMP\CS_OMP.m (2545, 2008-11-20)
压缩感知代码\21世纪新兴学科信号压缩感知的一个简单的实现例子CS_OMP\新建 文本文档.txt (46, 2010-12-18)
压缩感知代码\21世纪新兴学科信号压缩感知的一个简单的实现例子CS_OMP.rar (1318, 2010-12-18)
压缩感知代码\52157945OMP.rar (51475, 2010-12-26)
压缩感知代码\82247453cs\cs.m (1707, 2009-01-04)
压缩感知代码\91335309dct_cs.rar (724, 2010-11-27)
压缩感知代码\bcs比较傅里叶\BCSvb.m (4812, 2010-12-21)
压缩感知代码\bcs比较傅里叶\demo_BCSvb_1d.asv (2424, 2010-12-20)
压缩感知代码\bcs比较傅里叶\demo_BCSvb_1d.m (2673, 2010-12-22)
压缩感知代码\bcs比较傅里叶\Fourier_gaussian_OMP_svd.asv (2410, 2010-12-22)
压缩感知代码\bcs比较傅里叶\Fourier_gaussian_OMP_svd.fig (9427, 2010-04-29)
压缩感知代码\bcs比较傅里叶\Fourier_gaussian_OMP_svd.m (2410, 2010-12-22)
压缩感知代码\bcs比较傅里叶\jacobi.m (1397, 2010-04-15)
压缩感知代码\bcs比较傅里叶.rar (17316, 2011-03-03)
压缩感知代码\CS_OMP.m (2787, 2010-12-18)
压缩感知代码\image\BCSvb.m (4812, 2010-12-22)
压缩感知代码\image\demo_BCSvb_1d.asv (2705, 2010-12-22)
压缩感知代码\image\demo_BCSvb_1d.m (2762, 2010-12-22)
压缩感知代码\image\Fourier_gaussian_OMP_svd.asv (2286, 2010-12-22)
压缩感知代码\image\Fourier_gaussian_OMP_svd.fig (9427, 2010-12-22)
压缩感知代码\image\Fourier_gaussian_OMP_svd.m (2286, 2010-12-22)
压缩感知代码\image\html\demo_BCSvb_1d.html (14992, 2010-12-22)
压缩感知代码\image\html\demo_BCSvb_1d.png (2697, 2010-12-22)
压缩感知代码\image\html\demo_BCSvb_1d_01.png (3249, 2010-12-22)
压缩感知代码\image\html\demo_BCSvb_1d_02.png (3800, 2010-12-22)
压缩感知代码\image\html\demo_BCSvb_1d_03.png (4133, 2010-12-22)
压缩感知代码\image\html\demo_BCSvb_1d_04.png (4521, 2010-12-22)
压缩感知代码\image\image\bys\1.fig (2594, 2010-12-22)
压缩感知代码\image\image\bys\2.fig (3006, 2010-12-22)
压缩感知代码\image\image\bys\3.fig (6606, 2010-12-22)
压缩感知代码\image\image\bys\4.fig (6504, 2010-12-22)
压缩感知代码\image\jacobi.m (1397, 2010-12-22)
压缩感知代码\image\MSE.asv (630, 2010-12-22)
压缩感知代码\image\MSE.m (475, 2010-12-22)
压缩感知代码\image\Untitled.asv (566, 2010-12-22)
压缩感知代码\image\Untitled.m (515, 2010-12-22)
压缩感知代码\image\Untitled2.asv (521, 2010-12-22)
压缩感知代码\image\Untitled2.m (561, 2010-12-22)
压缩感知代码\Nyquist标准的方式进行采样数据\1-Bit Compressive Sensing.pdf (456192, 2009-06-16)
... ...

OMPBox v9 README May 21, 2009 OMPBox installation: -------------------- 1. Unpack the contents of the compressed file to a new directory, named e.g. "ompbox". 2. If you have not done so before, configure Matlab's MEX compiler by entering >> mex -setup prior to using MAKE. For optimal performance, it is recommended that you select a compiler that performs optimizations. For instance, in Windows, MS Visual Studio is preferred to Lcc. 3. Within Matlab, navigate to the OMPBox directory, and then to the "private" directory within it, and enter MAKE to run the compilation script. 4. Add the OMPBox package directory to the Matlab path (you can use the ADDPATH command for this). Do not add the private directory to the path. OMPBox quick start: ------------------- 1. Enter "ompdemo" at the Matlab command prompt to run a short demo of the package. 2. Enter "ompspeedtest" to test the speed of the various OMP implementations. 3. For a complete list of functions in the package, enter >> help ompbox This assumes the package was installed to a directory named "ompbox". If not, replace ompbox in the above with the (unqualified) name of the OMPBox installation directory. Also see faq.txt for some frequently asked questions about the package.

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