David Reixach

Multi-Dimensional Signal Recovery Using Low-Rank Deconvolution

In this work we present Low-rank Deconvolution, a powerful framework for low-level feature-map learning for efficient signal representation with application to signal recovery. Its formulation in multi-linear algebra inherits properties from convolutional sparse coding and low-rank approximation met…