FPGA Implementation of an Improved OMP for Compressive Sensing Reconstruction

This article proposes an improved orthogonal matching pursuit (OMP) algorithm and its implementation with Xilinx Vivado high-level synthesis (HLS). We use the Gram-Schmidt orthogonalization to improve the update process of signal residuals so that the signal recovery only needs to perform the least-...

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Bibliographic Details
Published in:	IEEE transactions on very large scale integration (VLSI) systems Vol. 29; no. 2; pp. 259 - 272
Main Authors:	Li, Jun, Chow, Paul, Peng, Yuanxi, Jiang, Tian
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Atomic measurements Compressed sensing Compressed sensing (CS) Field programmable gate arrays field-programmable gate array (FPGA) implementation Hardware Hardware description languages High level synthesis Image reconstruction Matched pursuit Matching pursuit algorithms orthogonal matching pursuit (OMP) algorithm Signal processing Signal reconstruction Sparse matrices sparse signal recovery Sparsity Vivado high-level synthesis (HLS)
ISSN:	1063-8210, 1557-9999
Online Access:	Get full text
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