A novel computational scheme for low multi-linear rank approximations of tensors
2015
Multi-linear functionals are generally known as tensors and provide a natural object of study in multi-dimensional signal and system analysis. Tensor approximation has various applications in signal processing and system theory. In this paper, we show the local convergence of a numerical method for multi-linear rank tensor approximation that is based on Jacobi iterations.
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