標題: A K-BEST ORTHOGONAL MATCHING PURSUIT FOR COMPRESSIVE SENSING
作者: Lin, Pu-Hsuan
Tsai, Shang-Ho
Chuang, Gene C. -H.
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Compressed sensing;orthogonal matching pursuit;K-best
公開日期: 2013
摘要: This paper proposes an orthogonal matching pursuit (OMP-) based recovering algorithm for compressive sensing problems. This algorithm can significantly improve recovering performance while it can still maintain reasonable computational complexity. Complexity analysis and simulation results are provided for the proposed algorithm and compared with other popular recovering schemes. We observe that the proposed algorithm can significantly improve the exact recovering performance compared to the OMP scheme. Moreover, in the cases with high compressed ratio, the proposed algorithm can even outperform the benchmark performance achieved by the subspace programming and linear programming.
URI: http://hdl.handle.net/11536/23534
ISBN: 978-1-4799-0356-6
ISSN: 1520-6149
期刊: 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
起始頁: 5706
結束頁: 5709
顯示於類別:會議論文