Improved Wavelet Denoising by Non-Convex Sparse Regularization Under Double Wavelet Domains

This paper presents a double wavelet denoising (DWAD) method, which can preserve more details of an original signal. Although the noise removal method based on wavelet transform has been widely used, it still performs poorly for the signals with a low signal-to-noise ratio (SNR) or frequency overlap...

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Detalhes bibliográficos

Principais autores:	Yongjun Wu, Guangjun Gao, Can Cui
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2019-01-01
coleção:	IEEE Access
Assuntos:	Wavelet transforms signal denoising non-convex regularization sparse representation double wavelet domains
Acesso em linha:	https://ieeexplore.ieee.org/document/8663326/
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