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Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1666215
Abstract: ABSTRACT Sparse regression is now a popular method for hyperspectral unmixing relying on a prior spectral library. However, it is limited by the high mutual coherence spectral library which contains high similarity atoms. In order…
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Keywords:
mutual coherence;
hyperspectral unmixing;
high mutual;
coherence spectral ... See more keywords
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Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3187319
Abstract: In optimal input design input sequences are typically generated without paying attention to the correlations between the regressors of the model to be estimated. In fact, in many cases high correlations are beneficial. This is…
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Keywords:
mutual coherence;
coherence;
input design;
constraint ... See more keywords
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Published in 2017 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2017.2671398
Abstract: Compressive sensing (CS) theory states that sparse signals can be recovered from a small number of linear measurements $y=Ax$ using $\ell _1\text{-}$ norm minimization techniques, provided that the sensing matrix satisfies a restricted isometry property…
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Keywords:
mutual coherence;
coherence;
sensing matrix;
imaging ... See more keywords
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Published in 2022 at "Optics letters"
DOI: 10.1364/ol.448575
Abstract: Dual-frequency comb spectroscopy permits broadband precision spectroscopy with high acquisition rate. The combs' repetition rates as well as the mutual coherence between the combs are key to fast and broadband measurements. Here, we demonstrate a…
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Keywords:
mutual coherence;
spectroscopy;
comb;
fast broadband ... See more keywords