Tensor Ring Decomposition and Its Applications
Tensor ring decomposition (TRD) represents a powerful technique for factorizing high-order tensors into a sum of lower-rank matrices. This transformation can vastly reduce the memory complexity of various tensor operations. TRD has found numerous applications in various fields, including signal processing, where it can improve the efficiency of alg