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.  

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
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