An Efficient FPGA Implementation of Orthogonal Matching Pursuit With Square-Root-Free QR Decomposition

Compressive sensing (CS) is a novel signal processing technology to reconstruct the sparse signal at sub-Nyquist rate. Orthogonal matching pursuit (OMP) is one of the most widely used signal reconstruction algorithms. However, the least square problem (LSP) in OMP algorithm limits its performance. T...

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Bibliographic Details
Published in:	IEEE transactions on very large scale integration (VLSI) systems Vol. 27; no. 3; pp. 611 - 623
Main Authors:	Ge, Xiang, Yang, Fan, Zhu, Hengliang, Zeng, Xuan, Zhou, Dian
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Compressed sensing Compressive sensing (CS) Computation Computer architecture Decomposition Field programmable gate arrays field-programmable gate array (FPGA) Hardware Matching pursuit algorithms Matrix decomposition orthogonal matching pursuit (OMP) QR decomposition (QRD) Root matching Schedules Signal processing Signal processing algorithms Signal reconstruction square root free (SRF) State of the art Workload
ISSN:	1063-8210, 1557-9999
Online Access:	Get full text
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