Tensor-based methods for blind spatial signature estimation under arbitrary and unknown source covariance structure

- Higher-order tensor methods for blind spatial signature estimation are proposed.
- Algorithms able to operate when sources covariance structure is unknown and arbitrary.
- More efficient denoising based on expanded form of spatial smoothing.
- Identifiability, uniqueness and computational complexity issues are analyzed.