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Sparsity-Seeking Methods in Signal Processing

In: Sparse and Redundant Representations

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  • Michael Elad

    (The Technion – Israel Institute of Technology, Computer Science Department)

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.

Suggested Citation

  • Michael Elad, 2010. "Sparsity-Seeking Methods in Signal Processing," Springer Books, in: Sparse and Redundant Representations, chapter 0, pages 169-184, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-7011-4_9
    DOI: 10.1007/978-1-4419-7011-4_9
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