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arXiv · 2101.11850

Windowed total variation denoising and noise variance monitoring

Zhanhao Liu·Marion Perrodin·Thomas Chambrion·Radu Stoica
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Abstract

We proposed a real time Total-Variation denosing method with an automatic choice of hyper-parameter $\lambda$, 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.

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Zhanhao Liu, Marion Perrodin, Thomas Chambrion, Radu Stoica. 2021-01-28. Windowed total variation denoising and noise variance monitoring. https://arxiv.org/abs/2101.11850

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