TENSOR RING DECOMPOSITION AND ITS APPLICATIONS

Tensor ring decomposition (TRD) represents a powerful technique for breaking down high-order tensors into a sum of lower-rank matrices. This transformation can significantly reduce the storage complexity of various tensor processes. TRD has found broad applications in various fields, including signal processing, where it can enhance the performance