|
abstract:
The Kronecker product of matrices plays a central role in mathematics and in
applications found in engineering and theoretical physics. In this talk, we discuss
dierent sparsity measures such as restricted isometry property (RIP), null space
property (NSP), mutual incoherence, spark and their connections and how these
measures behave in the case where the matrix is the Kronecker product of two
matrices. |
