A sparse signal reconstruction method based on improved double chains quantum genetic algorithm

DOI10.3390/sym9090178zbMath1423.94017OpenAlexW2750932785MaRDI QIDQ2333565

Jian Wan, Guoqing Ruan, Qiang Guo

Publication date: 13 November 2019

Published in: Symmetry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/sym9090178

zbMATH Keywords

noisy environmentssparse signal reconstructionfidelity matching pursuit algorithmimproved double chains quantum genetic algorithm

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• CoSaMP
• GOA

Cites Work

• Double chains quantum genetic algorithm with application to neuro-fuzzy controller design
• CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
• Gradient Pursuits
• Matching pursuits with time-frequency dictionaries
• Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit

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