Sparse Optimization of Vibration Signal by ADMM
In this paper, the alternating direction method of multipliers (ADMM) algorithm is applied to the compressed sensing theory to realize the sparse optimization of vibration signal. Solving the basis pursuit problem for minimizing the L1 norm minimization under the equality constraints, the sparse mat...
Saved in:
Main Author: | Song Wanqing |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2017/4612853 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-user joint RIS channel estimation based on ADMM
by: ZHU Luhu, et al.
Published: (2024-12-01) -
Convergence of Linear Bregman ADMM for Nonconvex and Nonsmooth Problems with Nonseparable Structure
by: Miantao Chao, et al.
Published: (2020-01-01) -
Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach
by: Hao Xiao, et al.
Published: (2024-12-01) -
A Novel Speckle Noise Removal Algorithm Based on ADMM and Energy Minimization Method
by: Bo Chen, et al.
Published: (2020-01-01) -
A Modified Approach to Distributed Bregman ADMM for a Class of Nonconvex Consensus Problems
by: Zhonghui Xue, et al.
Published: (2025-01-01)