## An Algorithm for Parallel Reconstruction of Jointly Sparse Tensors with Applications to Hyperspectral Imaging

- Qun Li, Edgar A. Bernal
- 2017 IEEE Conference on Computer Vision and…
- 2017

- Published 2014 in ArXiv

Compressed sensing (CS) exploits the sparsity of a signal in order to integrate acquisition and compression. CS theory enables exa ct reconstruction of a sparse signal from relatively few linear measurements via a suit ble nonlinear minimization process. Conventional CS theory relies on vector ial data representation, which results in good compression… CONTINUE READING

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