DocumentCode
588767
Title
Improved Algorithms for Compressed Sensing Based on the Multi-scale Wavelet Transform
Author
Yongjun Xu ; Yubing Han ; Kelan Wang
Author_Institution
Sch. of Electron. Eng. & Optoelectron. Tech., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2012
fDate
2-4 Nov. 2012
Firstpage
250
Lastpage
253
Abstract
The designing of sensing matrix has been our focus in the research of the Compressed Sensing (CS). In this paper, according to the properties of wavelet transform sub-bans, we improved the sensing matrix of the classical algorithms for compressed sensing based on the multi-scale wavelet transform. By using the weight matrix, the more information of the wavelet coefficients which is more important for the signal reconstruction can be reserved after measurement, and the PSNR of the improved algorithm was improved about 0.5~0.8dB.
Keywords
compressed sensing; signal reconstruction; wavelet transforms; CS; PSNR; compressed sensing matrix; multiscale wavelet transform; signal reconstruction; Compressed sensing; Image reconstruction; Optimization; Sensors; Wavelet coefficients; compressed sensing; sensing matrix; wavelet transform; weight matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-3093-0
Type
conf
DOI
10.1109/MINES.2012.126
Filename
6405672
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