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Published in 2017 at "Energy Policy"
DOI: 10.1016/j.enpol.2017.06.038
Abstract: Abstract High levels of wind penetration is widely accepted as presenting problems for energy security. With increasing wind deployment this issue is well recognised in Scotland. Spatial smoothing of generation is seen as one method…
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Keywords:
wind;
scotland;
energy;
spatial smoothing ... See more keywords
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Published in 2017 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2017.08.003
Abstract: BACKGROUND Pearson correlation (simply correlation) is a basic technique for neuroimage function analysis. It has been observed that the spatial smoothing may cause functional overestimation, which however remains a lack of complete understanding. Herein, we…
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Keywords:
fmri data;
functional overestimation;
correlation;
spatial smoothing ... See more keywords
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Published in 2024 at "Annals of the American Association of Geographers"
DOI: 10.1080/24694452.2024.2401490
Abstract: A new technique called generalized additive spatial smoothing (GASS) is introduced for modeling neighborhood effects within a regression framework. GASS has a number of desirable features, namely that it provides a data-driven mechanism for endogenously…
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Keywords:
generalized additive;
neighborhood effects;
gass;
spatial smoothing ... See more keywords
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Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3214321
Abstract: In coherent direction of arrival (DOA) estimation, subspace-based methods suffer from performance deterioration because of the rank loss of the signal covariance matrix. A variety of spatial smoothing preprocessing techniques have been proposed for decorrelation,…
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Keywords:
doa estimation;
matrix;
signal matrix;
spatial smoothing ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3565343
Abstract: As a sparse-based direction of arrival (DOA) estimation algorithm, the L1-singular value decomposition (SVD) algorithm is widely used to measure the orientation of targets. In real measurements, the coherent environment that often arises due to…
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Keywords:
spatial smoothing;
algorithm;
coherent environment;
svd ... See more keywords
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Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2908142
Abstract: A major drawback of subspace methods for direction-of-arrival estimation is their poor performance in the presence of coherent sources. Spatial smoothing is a common solution that can be used to restore the performance of these…
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Keywords:
subspace methods;
source;
hadamard product;
spatial smoothing ... See more keywords