Windowed total variation denoising and noise variance monitoring
Signal Processing
2021-01-29 v1
Abstract
We proposed a real time Total-Variation denosing method with an automatic choice of hyper-parameter , and the good performance of this method provides a large application field. In this article, we adapt the developed method to the non stationary signal in using the sliding window, and propose a noise variance monitoring method. The simulated results show that our proposition follows well the variation of noise variance.
Keywords
Cite
@article{arxiv.2101.11850,
title = {Windowed total variation denoising and noise variance monitoring},
author = {Zhanhao Liu and Marion Perrodin and Thomas Chambrion and Radu Stoica},
journal= {arXiv preprint arXiv:2101.11850},
year = {2021}
}