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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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. |
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DOI: | 10.48550/arxiv.2101.11850 |