%0 Book Section %1 elad10_09 %A Elad, Michael %B Sparse and Redundant Representations %D 2010 %I Springer New York %K Sparse.and.Redundant.Representations compressed.sensing %P 169-184 %R 10.1007/978-1-4419-7011-4_9 %T 09. Sparsity-Seeking Methods in Signal Processing %X All the previous chapters have shown us that the problem of finding a sparse solution to an underdetermined linear system of equation, or approximation of it, can be given a meaningful definition and, contrary to expectation, can also be computationally tractable. We now turn to discuss the applicability of these ideas to signal and image processing. As we argue in this chapter, modeling of informative signals is possible using their sparse representation over a well-chosen dictionary. This will give rise to linear systems and their sparse solution, as dealt with earlier. %@ 978-1-4419-7010-7

@inbook{elad10_09, abstract = {All the previous chapters have shown us that the problem of finding a sparse solution to an underdetermined linear system of equation, or approximation of it, can be given a meaningful definition and, contrary to expectation, can also be computationally tractable. We now turn to discuss the applicability of these ideas to signal and image processing. As we argue in this chapter, modeling of informative signals is possible using their sparse representation over a well-chosen dictionary. This will give rise to linear systems and their sparse solution, as dealt with earlier.}, added-at = {2013-06-22T08:58:58.000+0200}, author = {Elad, Michael}, biburl = {https://www.bibsonomy.org/bibtex/23fa52ace5460304548a2de0d419e9ca4/ytyoun}, booktitle = {Sparse and Redundant Representations}, doi = {10.1007/978-1-4419-7011-4_9}, interhash = {eedf5124d4fe405677aa583b0926eac8}, intrahash = {3fa52ace5460304548a2de0d419e9ca4}, isbn = {978-1-4419-7010-7}, keywords = {Sparse.and.Redundant.Representations compressed.sensing}, language = {English}, pages = {169-184}, publisher = {Springer New York}, timestamp = {2013-06-22T17:52:55.000+0200}, title = {09. Sparsity-Seeking Methods in Signal Processing}, year = 2010 }