Signal Separation Based on Knowledge Representation
The separation of mixed signals typically requires appropriate prior assumptions, while traditional signal separation methods struggle to describe the differences in separation targets with significant features. This paper proposes a signal separation framework based on knowledge representation, whe...
Saved in:
| Main Authors: | Cai Lu, Xuyang Zou, Jingjing Zong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/6/3319 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Knowledge‐based representation: Patient engagement in drug development
by: Claudia Egher, et al.
Published: (2024-02-01) -
Adaptive clustering for medical image analysis using the improved separation index
by: Mojtaba Jahanian, et al.
Published: (2025-08-01) -
Relational Knowledge Prediction via Dynamic Bi-Mode Embedding
by: Yang Fang, et al.
Published: (2018-01-01) -
Cross-correlation-based signal pruning method (CCSPM) for effective signal distortion reduction in massive MIMO communications
by: M. Kasiselvanathan, et al.
Published: (2025-07-01) -
Research on recommendation system based on knowledge graph and large language model enhancement
by: WANG Min, et al.
Published: (2025-03-01)