Signal Reconstruction Algorithm Application Research under Compressed Sensing in Sparse Signal Reconstruction
Abstract
To improve the efficiency of compressed sensing sparse signal reconstruction, a reconstruction algorithm suitable for different scenarios is proposed. On the basis of greedy algorithm, a sparse reconstruction algorithm for optimization is constructed. A multi-source sparse signal reconstruction algorithm with improved support set estimation is proposed. Experimental data show that the mean square error of the optimized sparse signal reconstruction algorithm is less than 10-5, which is 1-4 orders of magnitude smaller than other comparative algorithms (suh as orthogonal matching pursuit). The support set estimation accuracy of the joint sparse signal reconstruction algorithm is the highest. When the signal-to-noise ratio is 10, the relative reconstruction error based on the orthogonal matching tracking algorithm is 0.57. The minimum relative reconstruction error of the proposed joint sparse signal reconstruction algorithm is 0.34. The analysis of experimental data shows that the decentralized joint sparse signal reconstruction algorithm proposed in this paper not only ensures the efficiency of signal reconstruction, but also reduces the computational complexity.
DOI:
https://doi.org/10.31449/inf.v49i5.9283Downloads
Published
How to Cite
Issue
Section
License
I assign to Informatica, An International Journal of Computing and Informatics ("Journal") the copyright in the manuscript identified above and any additional material (figures, tables, illustrations, software or other information intended for publication) submitted as part of or as a supplement to the manuscript ("Paper") in all forms and media throughout the world, in all languages, for the full term of copyright, effective when and if the article is accepted for publication. This transfer includes the right to reproduce and/or to distribute the Paper to other journals or digital libraries in electronic and online forms and systems.
I understand that I retain the rights to use the pre-prints, off-prints, accepted manuscript and published journal Paper for personal use, scholarly purposes and internal institutional use.
In certain cases, I can ask for retaining the publishing rights of the Paper. The Journal can permit or deny the request for publishing rights, to which I fully agree.
I declare that the submitted Paper is original, has been written by the stated authors and has not been published elsewhere nor is currently being considered for publication by any other journal and will not be submitted for such review while under review by this Journal. The Paper contains no material that violates proprietary rights of any other person or entity. I have obtained written permission from copyright owners for any excerpts from copyrighted works that are included and have credited the sources in my article. I have informed the co-author(s) of the terms of this publishing agreement.
Copyright © Slovenian Society Informatika
