中国物理B ›› 2011, Vol. 20 ›› Issue (5): 50504-050504.doi: 10.1088/1674-1056/20/5/050504
谢宗伯, 冯久超
Xie Zong-Bo(谢宗伯) and Feng Jiu-Chao(冯久超)†
摘要: This paper proposes a denoising algorithm called truncated sparse decomposition (TSD) algorithm, which combines the advantage of the sparse decomposition with that of the minimum energy model truncation operation. Experimental results on two real chaotic signals show that the TSD algorithm outperforms the recently reported denoising algorithms–-non-negative sparse coding and singular value decomposition based method.
中图分类号: (Noise)