Multi‐subband fusion algorithm based on autoencoder

Abstract A novel algorithm for multi‐subband signal fusion achieves performance superior to traditional all‐pole model, matrix pencil algorithm and deep‐neural‐network (Deep neural network (DNN)). The method uses a deep‐learning autoencoder more fully described as a multi‐subband fusion autoencoder...

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Bibliografiska uppgifter

Huvudupphov:	Yilin Jiang, Liting Zhang, Li Li, Jinxin Li, Yaozu Yang
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Wiley 2022-12-01
Serie:	IET Signal Processing
Ämnen:	autoencoder deep learning HRRP neural network subband fusion
Länkar:	https://doi.org/10.1049/sil2.12153
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