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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/190| FPGA-based compressed sensing reconstruction of sparse signals | |
| HECTOR DANIEL RICO ANILES | |
| JUAN MANUEL RAMIREZ CORTES JOSE DE JESUS RANGEL MAGDALENO | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Field programmable gate arrays Image reconstruction Image sampling Signal recostruction Sampling methods | |
| Compressed sensing is a recently proposed technique aiming to acquire a signal with sparse or compressible representation in some domain, using a number of samples under the limit established by the Nyquist theorem. The challenge is to recover the sensed signal solving an underdetermined linear system. Several techniques such as the l1 minimization, Greedy and combinatorial algorithms can be used for that purpose. Greedy algorithms have been found to be more suitable in hardware solutions, however they rely on efficient matrix inversion techniques in order to solve the underdetermined linear systems involved. In this work, a FPGA-based Greedy algorithm architecture with a Chebyshev-type method to solve matrix inversion problem is presented. The architecture was developed for Xilinx Virtex 4 XC4VSX25, Xilinx Spartan 6 XC6SLX45, Altera Cyclone IV EP4CGX150DF31C7 and Altera Cyclone II EP2C35F672C6 FPGAs. The described architecture represents a low-cost and generic solution, robust to changes in word length and signal size. Besides, a MATLAB Graphical User Interface is developed for compressed sensing theory exploration focused on matrix and transform test. MATLAB GUI uses the Compressed Sampling Matching Pursuit algorithm to recover the sensed signal; reconstruction can easily be extended to other compressed sensing algorithms. | |
| Instituto Nacional de Astrofísica, Óptica y Electrónica | |
| 2014-09 | |
| Tesis de maestría | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Rico-Aniles H.D. | |
| ELECTRÓNICA | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Maestría en Electrónica |
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| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| RicoAHD.pdf | 2.29 MB | Adobe PDF | Visualizar/Abrir |