Optimization of the signal reconstruction process by multiresolution analysis for a signal with Gaussian noise using the Sure-Shrink algorithm and wavelet Daubechies

Olea, Luis Rodrigo Soto; Juan, Enrique San; Adasme, Pablo; Dehghan Firoozabadi, Ali

Abstract

By an optimization algorithm, the signal reconstruction process is optimized using multiresolution analysis with the Daubechies mother wavelet and the Sure-Shrink thresholding algorithm. This work seeks to propose an optimization scheme and a threshold associated with the noise variance, which complements the signal reconstruction process and achieves better performances when comparatively analyzing the signal to noise ratio, the mean square error, and the norm, compared to the signal obtained from the unoptimized process. © 2023 IEEE.

Más información

Título según SCOPUS: Optimization of the signal reconstruction process by multiresolution analysis for a signal with Gaussian noise using the Sure-Shrink algorithm and wavelet Daubechies
Editorial: Institute of Electrical and Electronics Engineers Inc.
Fecha de publicación: 2023
Página de inicio: 76
Página final: 81
Idioma: English
DOI:

10.1109/SACVLC59022.2023.10347793

Notas: SCOPUS - SCOPUS