A Dynamical System With Fixed Convergence Time for Sparse Recovery

IEEE Access

Jean-Pierre Barbot¹  Hong Sun²  Lei Yu²  Yulun Jiang²  Junying Ren² 

[1] Quartz EA 7393, ENSEA, Cergy-Pontoise, France;School of Electronic and Information, Wuhan University, Wuhan, China;

关键词: Sparse recovery;    dynamical system;    fixed-time convergence;   

DOI  :  10.1109/ACCESS.2019.2897488

来源: DOAJ

【 摘 要 】

The sparse recovery (SR) algorithm, under the premise that signals are sparse, can be divided into two categories. One is a digital discrete method implemented via lots of iterative computations and the other is a continuous method implemented via analog circuits, which is usually faster. In this paper, we focus on the continuous method and propose a fixed-time convergence dynamical system. Compared with the existing system, it dynamically allocates the exponent according to time-varying elements of the system state, avoiding possible mismatches between the fixed exponent and some elements.

【 授权许可】

Unknown