TENSOR RING DECOMPOSITION AND ITS APPLICATIONS

Tensor ring decomposition (TRD) is a powerful technique for factorizing high-order tensors into a sum of lower-rank matrices. This reduction can significantly reduce the memory complexity of various tensor operations. TRD has found wide applications in multiple fields, including signal processing, where it can enhance the performance of algorithms