Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals

Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals

This paper approaches the problem of signal denoising in time-variable noise conditions. Non-stationary noise results in variable degradation of the signal’s useful information content over time. In order to maximize the correct recovery of the useful part of the signal, this paper proposes a denois...

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Bibliographic Details
Main Authors: Nicoletta Saulig, Jonatan Lerga, Siniša Miličić, Željka Tomasović
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
non-stationary signal
time-frequency distribution
denoising
Rényi entropy
Online Access:https://www.mdpi.com/1424-8220/22/21/8251

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