Volume 7 - Issue 1
Research on iterative thresholding matching pursuit based on adaptive sparsity
Abstract
With the deeply research on the exiting greedy algorithm, we propose a novel ITAMP algorithm, which could not only improve the efficiency and search optimization, but also realize the signal sparsity adaptive characteristic in data recovery. MATLAB simulation compares ITAMP with OMP, COSAMP, SAMP, and presents ITAMP priority in accuracy, stability and efficiency, which could promote the fusion of the compressive sensing and wireless sensor network technology.
Paper Details
PaperID: 79551626847
Author's Name: Sun, G., Zhang, Y., Lv, L., Li, W.
Volume: Volume 7
Issues: Issue 1
Keywords: Adaptive sparsity, Compressive sensing, Iterative thresholding, Matching pursuit, Wireless sensor network
Year: 2011
Month: January
Pages: 34 - 41