# t-SVD

## t-Schatten- p Norm for Low-Rank Tensor Recovery

We propose a new definition of tensor Schatten-p norm (t-Schatten-p norm) based on t-SVD, and prove that this norm has similar properties to matrix Schatten-p norm.

## Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

This paper studies the Tensor Robust Principal Component (TRPCA) problem which extends the known Robust PCA to the tensor case.