FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction

In this paper, we present a novel architecture based on field-programmable gate arrays (FPGAs) for the reconstruction of compressively sensed signal using the orthogonal matching pursuit (OMP) algorithm. We have analyzed the computational complexities and data dependence between different stages of...

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Veröffentlicht in:	IEEE transactions on very large scale integration (VLSI) systems Jg. 23; H. 10; S. 2209 - 2220
Hauptverfasser:	Hassan Rabah, Amira, Abbes, Mohanty, Basant Kumar, Almaadeed, Somaya, Meher, Pramod Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Compressive sensing Computer architecture Engineering Sciences Field programmable gate arrays field-programmable gate array (FPGA) implementation hardware reconstruction low-complexity architecture Matching pursuit algorithms Matrix decomposition Micro and nanotechnologies Microelectronics Optimization orthogonal matching pursuit (OMP) algorithm Signal and Image processing Symmetric matrices system-level modeling Vectors orthogonal matching pursuit (OMP) algorithm field-programmable gate array (FPGA) implementation hardware reconstruction Compressive sensing low-complexity architecture system-level modeling
ISSN:	1063-8210, 1557-9999
Online-Zugang:	Volltext
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