Polynomial Phase Signal Denoising Connecting Semantic Information Based on Deep Neural Networks

This paper considers the problem of polynomial phase signal (PPS) denoising. To prove that proper use of semantic information can further improve the denoising performance based on deep neural networks, we propose an architecture combining the segmentation network and the denoising network. The visi...

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Veröffentlicht in:	Journal of physics. Conference series 2022-02, Vol.2188 (1), p.12009
Hauptverfasser:	Zhang, Liang, Hung, Cheng-Yu, Yang, Hongyu, Huang, Rui
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Lower bounds Neural networks Noise reduction Physics Polynomials Segmentation Semantics Signal to noise ratio Vision
Online-Zugang:	Volltext
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