Jung-Chun Chi

-Complexity Low-Rank Approximation SVD for Massive Matrix in Tensor Train Format

Tensor train decomposition (TTD) has recently been proposed for high-dimensional signals because it can save significant storage in various signal processing applications. This paper presents a low-rank approximation algorithm of singular value decomposition (SVD) for large-scale matrices in tensor…