Articles with "incoherence" as a keyword



GRADE approach to rate the certainty from a network meta-analysis: addressing incoherence.

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Published in 2019 at "Journal of clinical epidemiology"

DOI: 10.1016/j.jclinepi.2018.11.025

Abstract: This article presents official guidance from the Grading of Recommendations Assessments, Development, and Evaluation (GRADE) working group on how to address incoherence when assessing the certainty in the evidence from network meta-analysis. Incoherence represents important… read more here.

Keywords: network; addressing incoherence; certainty; incoherence ... See more keywords

Internal Tide Surface Signature and Incoherence in the North Atlantic

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Published in 2024 at "Geophysical Research Letters"

DOI: 10.1029/2024gl108508

Abstract: Despite intensified efforts to better quantify Internal Tide dynamics over past decades, large uncertainties remain regarding their distribution and lifecycle in the ocean. In particular, internal tide incoherence (loss of time‐regularity) has limited our ability… read more here.

Keywords: north atlantic; internal tide; incoherence; tide surface ... See more keywords

A High-Accuracy Incoherence Compensation Method for Multiband Fusion Based on Phase-Coherent Coefficient Between Subbands

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Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2024.3522983

Abstract: Multiband fusion (MF) technology can greatly enhance the range resolution of radar by generating ultrawideband echo using several subbands echoes (SBEs). A critical issue of MF is how to accurately estimate and compensate for incoherence… read more here.

Keywords: method; multiband fusion; incoherence; high accuracy ... See more keywords

Mutual Incoherence and Relative Total Variation Regularizations for Blind Hyperspectral Unmixing

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3388991

Abstract: The unsupervised hyperspectral unmixing (HU) technique, also known as blind HU, directly decomposes the mixed pixels of a hyperspectral image (HSI) into a combination of endmembers weighted by their fractional abundances, without relying on a… read more here.

Keywords: total variation; hyperspectral unmixing; incoherence; mutual incoherence ... See more keywords

Robust PCA Based on Incoherence With Geometrical Interpretation

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Published in 2018 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2018.2790481

Abstract: Robust principal component analysis, which extracts low-dimensional data from high-dimensional data, can also be regarded as a source separation problem of the sparse error matrix and the low-rank matrix. Until recently, various methods have attempted… read more here.

Keywords: source separation; based incoherence; separation; incoherence ... See more keywords