HIGHLIGHTS
- who: R ESEA R CH and colleagues from the (UNIVERSITY) have published the Article: Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms, in the Journal: (JOURNAL)
- what: The authors provide a thoughtful perspective on this relevant issue and further analyze the performance versus energy consumption ratio of different processing chains for spectral unmixing when implemented on multi-core platforms. The aim of this algorithm is to select the subset of eigenvectors that best represents the signal subspace in the minimum mean squared error sense. The experiments show that, in practice, this . . .
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