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Joint Sparse Estimation with Cardinality Constraint via Mixed-Integer Semidefinite Programming
To further reduce the computation time in such scenarios, a relaxation-based approach can be employed to obtain an approximate solution of the MISDP reformulation, at the expense of a reduced estimation performance.
Ambiguities in Direction-of-Arrival Estimation with Linear Arrays
Our approach uses Young tableaux for which a submatrix of the steering matrix has a vanishing determinant, which can be expressed through vanishing sums of unit roots.
Recovery under Side Constraints
Finally, we address the measurement system design for linear and nonlinear measurements of sparse signals.
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