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arXiv · 2410.08404

Noise Removal in One-Dimensional Signals using Iterative Shrinkage Total Variation Algorithm

Joyce Oliveira dos Santos·Francisco Márcio Barboza
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Abstract

The total variation filtering technique emerges as a highly effective strategy for restoring signals with discontinuities in various parts of their structure. This study presents and implements a one-dimensional signal filtering algorithm based on total variation. The aim is to demonstrate the effectiveness of this algorithm through a series of synthetic filtering tests. The results presented in this paper were significant in demonstrating the proposed algorithm's effectiveness. Through a series of rigorously conducted experiments, the algorithm's ability to solve complex noise removal problems in various scenarios was evidenced.

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Joyce Oliveira dos Santos, Francisco Márcio Barboza. 2024-10-10. Noise Removal in One-Dimensional Signals using Iterative Shrinkage Total Variation Algorithm. https://arxiv.org/abs/2410.08404

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