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
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;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.126
