Time-Frequency Atom Decomposition Based on Seeker Optimization Algorithm

被引：0

作者：

Ran, Lili ^{[1
]}

Chen, Weirong ^{[1
]}

Dai, Chaohua ^{[1
]}

机构：

[1] SW Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuang Provin, Peoples R China

来源：

ELECTRICAL INFORMATION AND MECHATRONICS AND APPLICATIONS, PTS 1 AND 2 | 2012年 / 143-144卷

关键词：

signal processing; sparse decomposition; matching pursuit (MP); seeker optimization algorithm; time-frequency atom decomposition;

D O I：

10.4028/www.scientific.net/AMM.143-144.317

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Sparse representation of signals has many important applications in signal processing. However, this issue is well known as a complex and NP problem, which is a key factor to depress the application and progress of sparse decomposition. In this work, seeker optimization algorithm(SOA)-based method is used to search for the best matching atoms in sparse decomposition. For comparision, the conventional matching pursuit (MP) method and two versions of PSO algorithms are also considered in the simulation studies. The simulation results show that the proposed approach is an effective and reliable technique for time-frequency atom decomposition.

引用

页码：317 / 322

页数：6

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