examples to ensure they remain correct as LocalTensor evolves. Each test imports and calls the same functions that are included in the tutorial documentation via literalinclude, ensuring the tutorial ...

"""Create a LocalTensor from per-rank tensors.

Abstract: Hyperspectral imaging generates high-dimensional data with complex spatial-spectral correlations that pose significant dimensionality reduction challenges. Principal Component Analysis (PCA) ...

Abstract: This paper proposes a tensor-based modulation classification scheme for Multiple Input Multiple Output systems operating under malicious interference. The method begins by constructing a ...

Low-rank tensor completion has become a fundamental tool for recovering high-dimensional data from incomplete observations. However, conventional methods rely primarily on algebraic low-rank priors ...