Reduced Computational Complexity Orthogonal Matching Pursuit Using a Novel Partitioned Inversion Technique for Compressive Sensing

Reduced Computational Complexity Orthogonal Matching Pursuit Using a Novel Partitioned Inversion Technique for Compressive Sensing

This paper reports a field-programmable gate array (FPGA) design of compressed sensing (CS) using the orthogonal matching pursuit (OMP) algorithm. While solving the least-squares (LS) problem in the OMP algorithm, the complexity of the matrix inversion operation at every loop is reduced by the propo...

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Bibliographic Details
Main Authors: Seonggeon Kim, Uihyun Yun, Jaehyuk Jang, Geunsu Seo, Jongjin Kang, Heung-No Lee, Minjae Lee
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Electronics
Subjects:
compressed sensing (CS)
field programmable gate array (FPGA)
high-level synthesis (HLS)
partitioned inversion
orthogonal matching pursuit (OMP)
Online Access:http://www.mdpi.com/2079-9292/7/9/206

Internet

http://www.mdpi.com/2079-9292/7/9/206

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