Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Terahertz Signal Reconstruction Based on Compressed Sensing Orthogonal Matching Pursuit Algorithm

Not Accessible

Your library or personal account may give you access

Abstract

We describe a terahertz signal reconstruction method based on compressed sensing (CS). Results of Orthogonal matching pursuit (OMP) algorithm indicate that 25% of signal length measurements can realize accurate reconstruction of the initial signal.

© 2016 Optical Society of America

PDF Article
More Like This
Sparse Reconstruction of Complex Signals in Compressed Sensing Terahertz Imaging

Zhimin Xu, Wai Lam Chan, Daniel M. Mittleman, and Edmund Y. Lam
STuA4 Signal Recovery and Synthesis (SRS) 2009

Fast Terahertz Imaging based on Compressive Sensing

Yuye Wang, Pan Duan, Degang Xu, Jia Shi, Longhuang Tang, Yixin He, Hongxiang Liu, Meitong Nie, and Jianquan Yao
IW4B.5 International Symposium on Ultrafast Phenomena and Terahertz Waves (ISUPTW) 2016

Orthogonal Matching Pursuit based Sparse Nonlinear Equalization for 40-Gb/s/wavelength Long-Reach PON

Junwei Zhang, Changjian Guo, Jie Liu, Xiong Wu, Alan Pak Tao Lau, Chao Lu, and Siyuan Yu
W2I.6 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2018

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.