.png){kind=icon}
.png){kind=icon}
Return
Multi-channel neural blind deconvolution:A physically interpretable network for impulsive mode extraction
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ymssp.2025.113210.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• The frequency domain band-limited characteristics of the impulsive mode are characterized and applied to blind deconvolution. • A multi-channel blind deconvolution framework for multiple impulsive mode extraction is proposed. • MCNBD, an example of MCBD, is built based on deep learning technology. • MCNBD is a fully interpretable neural network that can extract multiple IMs non-recursively.
Keywords:
impulsive mode
blind deconvolution
multi-channel
deep learning
interpretable neural network
Journal
IF:
8.9
Papers:
1.3W
Citations:
6.6W
View more organizations