Sparse optimization theory and methods
Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing. The efficient sparse representation becomes central in various big or high-dimensional data processing, yielding fruitful theoretical and realistic res...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press, an imprint of Taylor and Francis
2018.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009669532006719 |
Tabla de Contenidos:
- chapter 1 Uniqueness of the Sparsest Solution of Linear Systems
- chapter 2 Uniqueness of Solutions to l1-Minimization Problems
- chapter 3 Equivalence of l0- and l1-Minimization
- chapter 1 1-Bit Compressed Sensing
- chapter 5 Stability of Linear Sparse Optimization Methods
- chapter 6 Stability of Nonlinear Sparse Optimization Methods
- chapter 7 Reweighted l1-Algorithms
- chapter 8 Sparsity via Dual Density.
