Abstract The tensor rank decomposition, or canonical polyadic is the decomposition of a into sum rank-1 tensors. condition number measures sensitivity summands with respect to structured perturbations. Those are perturbations preserving that decomposed. On other hand, angular up scaling. We show for random rank-2 tensors expected value infinite wide range choices density. Under mild additional ...

The Discrete Cosine Transform (DCT) is widely used in all transform-based image and video compression standards due to its well-known decorrelation and energy compaction properties for typical images. Many fast algorithms available for the DCT optimize various parameters such as additions and multiplications but they are input independent and thus require the same number of operations for any i...