文件名称:RICE-UNIVERSITY
介绍说明－－下载内容均来自于网络，请自行研究使用
标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。-The standard compressive sensing (CS) theory dictates that robust signal recovery is possible from M=O(Klog(N/K)) measurements. We demonstrate that it is possible to substantially decrease Mwithout sacrificing robustness by leveraging more realistic signal models that go beyond simple sparsity and compressibility by including dependencies between values and locations of the signal coefficients.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
RICE UNIVERSITY代码\modelcs_v1.1\1D trees\.DS_Store
...................\............\........\cssa1.m
...................\............\........\greedy1.m
...................\............\........\treemp.m
...................\............\........\treemp_example.m
...................\............\........\treemp_fun.m
...................\............\2D trees\.DS_Store
...................\............\........\cosamp_2D_nf.m
...................\............\........\cssa2.m
...................\............\........\greedy2.m
...................\............\........\peppers.png
...................\............\........\treemp_2D_example.m
...................\............\........\treemp_greedy_2D.m
...................\............\........\treemp_nf_2D.m
...................\............\Block sparsity\.DS_Store
...................\............\..............\jsmp.m
...................\............\..............\jsmp_example.m
...................\............\..............\jsmp_fun.m
...................\............\Clustered sparsity\.DS_Store
...................\............\..................\kc.m
...................\............\..................\kc_example.m
...................\............\Delta\.DS_Store
...................\............\.....\bestdelta.m
...................\............\.....\deltarec.m
...................\............\.....\delta_example.m
...................\............\README.txt
...................\............\Sparsity\.DS_Store
...................\............\........\;.m
...................\............\........\cosamp.m
...................\............\........\cosamp_example.m
...................\............\........\cosamp_fun.m
...................\............\........\cosanalysis.m
...................\............\........\cosanalysis.m~
...................\............\........\cosanalysis_example.m
...................\............\........\cosanalysis_example.m~
...................\............\Utils\At_f.m
...................\............\.....\axisfortex.m
...................\............\.....\A_f.m
...................\............\.....\A_I.m
...................\............\.....\A_I_transpose.m
...................\............\.....\bestKCsparse_l1mex.cpp
...................\............\.....\bestKCsparse_l1mex.mexa64
...................\............\.....\bestKCsparse_l1mex.mexglx
...................\............\.....\bestKCsparse_l1mex.mexmaci
...................\............\.....\bestKCsparse_l2mex.cpp
...................\............\.....\bestKCsparse_l2mex.mexa64
...................\............\.....\bestKCsparse_l2mex.mexglx
...................\............\.....\bestKCsparse_l2mex.mexmaci
...................\............\.....\cgsolve.m
...................\............\.....\condense.m
...................\............\.....\genPWpoly.m
...................\............\.....\maskp.m
...................\............\.....\Qdel.m
...................\............\.....\Qfind.m
...................\............\.....\Qins.m
...................\............\.....\Qswap.m
...................\............\.....\rmaxis.m
...................\............\.....\Tfind.m
...................\............\.....\umask.m
...................\............\.....\walk1.m
...................\............\.....\walk2.m
...................\modelcs_v1.1.tar.gz
...................\modelcs_v1.1.zip
...................\READ ME.docx
...................\Users\modelcs_v1.1\1D trees\.DS_Store
...................\.....\............\........\._.DS_Store
...................\.....\............\........\._treemp.m
...................\.....\............\........\._treemp_example.m
...................\.....\............\........\._treemp_fun.m
...................\.....\............\........\cssa1.m
...................\.....\............\........\greedy1.m
...................\.....\............\........\treemp.m
...................\.....\............\........\treemp_example.m
...................\.....\............\........\treemp_fun.m
...................\.....\............\2D trees\.DS_Store
.....