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 - Derive the high-order co-array tensor from sub-Nyquist tensor signals, and achieve co-array tensor-based direction-of-arrival estimation with *high accuracy*, *super resolution* and *increased degrees-of-freedom*
 - Optimize the uniqueness condition of co-array tensor decomposition, and identify multiple sources that exceed the number of physical array sensors
 - Complete the coarray tensor with missing slices to exploit the full co-array information
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+Analytical results and numerical results are presented in our papers published on IEEE TSP, IEEE TAES, and IEEE ICASSP.
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