Laser & Optoelectronics Progress, Volume. 52, Issue 3, 31002(2015)
Window-Added Sampling for Improving Sparsity of Non-Sparse Representation of Signals
In order to apply compressed sensing technique to a non-sparse signal in transform domains, a novel method is presented to improve the sparsity of the non-sparse representation of a signal. The method employs a movable window function to decompose the non-sparse representation of a signal in transform domains into multiple window-cutting representation, as long as the width of each window function is far less than the length of the signal, and then each window-cutting representation has good sparsity. The compressed sensing of nonsparse representation is realized by the sparse window-cutting representations. The detailed theoretical analysis using Gausian and rectangle window functions is presented and the experimental results of both noise-free image and noise-added image demonstrate that the method is valid.
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Yang Chuping, Cai Wenxi, Weng Jiawen. Window-Added Sampling for Improving Sparsity of Non-Sparse Representation of Signals[J]. Laser & Optoelectronics Progress, 2015, 52(3): 31002
Category: Image Processing
Received: Sep. 9, 2014
Accepted: --
Published Online: Feb. 10, 2015
The Author Email: Chuping Yang (yangchp@scau.edu.cn)