A Neural Network-Assisted Denoiser for Sparse Signals With Low Rank Property of Transformed Hankel Matrices

A Neural Network-Assisted Denoiser for Sparse Signals With Low Rank Property of Transformed Hankel Matrices

Designing a denoising framework for high-mobility environments is challenging due to the limited size of collected data and low latency requirements. In this paper, we introduce a neural network (NN)-assisted denoiser for sparse signals in the frequency domain, referred to as dssNET, based on the lo...

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Bibliographic Details
Main Authors: Wanjei Cho, Seong-Cheol Kim, Woong-Hee Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Signal denoising
sparse signals
neural networks
Online Access:https://ieeexplore.ieee.org/document/10806718/
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https://ieeexplore.ieee.org/document/10806718/

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