Two algorithms for compressed sensing of sparse tensors

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