使用低秩反卷积进行多维信号恢复（英文版）

英文标题：Multi-dimensional Signal Recovery using Low-rank Deconvolution中文摘要：本文提出了低秩反卷积，这是一个用于效率信号表示的低层特征映射学习的强大框架，适用于信号恢复，并在学习压缩视频表示和解决图像修复问题方面展现了其优势。英文摘要：In this work we present Low-rank Deconvolution, a powerful framework forlow-level feature-map learning for efficient signal representation withapplication to signal recovery. Its formulation in multi-linear algebrainherits properties from convolutional sparse coding and low-rank approximationmethods as in this setting signals are decomposed in a s