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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Autors principals:	Yongjun Wu, Guangjun Gao, Can Cui
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2019-01-01
Col·lecció:	IEEE Access
Matèries:	Wavelet transforms signal denoising non-convex regularization sparse representation double wavelet domains
Accés en línia:	https://ieeexplore.ieee.org/document/8663326/
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