Jun 27, 2022 · The proposed approaches only require the communication network to be undirected and connected, without the notion of central processing node, ...

In this paper, we respectively propose novel distributed continuous-time and discrete-time pro- jection neurodynamic approaches for sparse recovery by seeking ...

This paper addresses the reconstruction issue of sparse signal by developing centralized and distributed neurodynamic approaches. An \( l_{1} \)-minimization ...

This paper proposes novel distributed continuous-time and discrete-time projection neurodynamic approaches for sparse recovery by seeking the minimum ...

This paper develops two continuous-time distributed accelerated neurodynamic approaches for solving sparse recovery via smooth approximation to L 1 -norm ...

Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery. You-Zhao, Xiaofeng Liao 0001, Xing He 0001.

Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery. Y. Zhao, X. Liao, and X. He. IEEE Trans. Emerg. Top.

Jun 25, 2024 · This paper develops two continuous-time distributed accelerated neurodynamic approaches for solving sparse recovery via smooth approximation ...

This paper develops two neurodynamic approaches for solving the L 1 -minimization problem with the linear inequality constraints.

Distributed continuous-time accelerated neurodynamic approaches for sparse recovery via smooth approximation to L 1 -minimization · No full-text available.