Windowed total variation denoising and noise variance monitoring

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 prop...

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Hauptverfasser: Liu, Zhanhao, Perrodin, Marion, Chambrion, Thomas, Stoica, Radu
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
DOI:10.48550/arxiv.2101.11850