Abstract
This letter presents a novel multi-channel improved contrastive predictive coding (CPC) method to extract signals features. Specifically, to extract low pulse width radar signals features and meet the real-time requirements of signals identification, we design a lightweight encoder to realize the CPC features encoding function. Then, we construct a multi-channel CPC features decoder to mine and extract subtle individual signals features from the perspective of multi-domain and multi-channel information input. Simulation results verify the effectiveness of our proposed method, which can achieve state-of-the-art results in both accuracy and running time compared to the existing optimal methods. All our models and code are available at https://github.com/jn-z/MC-CPC.
| Original language | English |
|---|---|
| Article number | 246 |
| Journal | Neural Processing Letters |
| Volume | 56 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 2024 |
Keywords
- Contrastive predictive coding (CPC)
- Lightweight encoder
- Multi-channel decoder
- Signals features extraction
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