Wavelet compressive sampling signal reconstruction using upside-down tree structure
type: Item
instance of: scholarly article
title: Wavelet compressive sampling signal reconstruction using upside-down tree structure
zbMATH Open document ID: 1235.94040
DOI: 10.1155/2011/606974
author: Yijiu Zhao
author: Xiaoyan Zhuang
author: Zhijian Dai
author: Houjun Wang
published in: Mathematical Problems in Engineering
publication date: 2012-04-03T00:00:00Z
review text: Summary: We suggest an upside-down tree-based orthogonal matching pursuit (UDT-OMP) compressive sampling signal reconstruction method in wavelet domain. An upside-down tree for the wavelet coefficients of signal is constructed, and an improved version of orthogonal matching pursuit is presented. The proposed algorithm reconstructs compressive sampling signal by exploiting the upside-down tree structure of the wavelet coefficients of signal besides its sparsity in wavelet basis. Compared with conventional greedy pursuit algorithms: orthogonal matching pursuit (OMP) and tree-based orthogonal matching pursuit (TOMP), signal-to-noise ratio (SNR) using UDT-OMP is significantly improved.
Mathematics Subject Classification ID: 94A20
Mathematics Subject Classification ID: 42C40
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 6021128
Wikidata QID: Q58693281
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2011/606974
OpenAlex ID: W2135720113
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description: scientific article; zbMATH DE number 6021128