Kernel sparse representation for hyperspectral unmixing based on high mutual coherence spectral library
Sign Up to like & getrecommendations! 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… read more here.
Keywords: mutual coherence; hyperspectral unmixing; high mutual; coherence spectral ... See more keywords
Application-Oriented Input Design With Low Coherence Constraint
Sign Up to like & getrecommendations! 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… read more here.
Keywords: mutual coherence; coherence; input design; constraint ... See more keywords
Balancing Application Relevant and Sparsity Revealing Excitation in Input Design
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2024.3472168
Abstract: The maximum absolute correlation between regressors, which is called mutual coherence, plays an essential role in sparse estimation. A regressor matrix whose columns are highly correlated may result from optimal input design, since there is… read more here.
Keywords: input; mutual coherence; input design; sparse estimation ... See more keywords
Sensing Matrix Design via Mutual Coherence Minimization for Electromagnetic Compressive Imaging Applications
Sign Up to like & getrecommendations! 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… read more here.
Keywords: mutual coherence; coherence; sensing matrix; imaging ... See more keywords
Path Selection via Mutual Coherence Optimization in Network Monitoring
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2025.3532343
Abstract: Periodically monitoring the state of internal links is important for network diagnosis. One of the major problems in tomography-based network monitoring is to select which paths to measure. In this paper, we propose a new… read more here.
Keywords: network monitoring; mutual coherence; network; path selection ... See more keywords
1-GHz dual-comb spectrometer with high mutual coherence for fast and broadband measurements.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: mutual coherence; spectroscopy; comb; fast broadband ... See more keywords