数学一级学科Seminar 773
主题：稀疏表示和盲信号处理——压缩感知、字典学习及盲源分离
报告人：Prof. Shuxue Ding（The University of Aizu, Japan)
时间：2013年10月12日（周六)10:30
地点：校本部F307
主办部门：理学院数学系

摘要：I present an overview for some frontier research areas related to neuro-computing, signal processing, machine learning and communications. These areas include blind source separation (BSS), independent component analysis (ICA), compressive sensing (CS), sparse representation, non-negative matrix factorization (NMF) and convolutive blind source separation. These technologies have many applications although they are still very young, or otherwise have many potential applications in the future, and are broadly considered as representations of new influential technologies developed in this century. Our contributions cover almost every related areas and I shall introduce some of them. We found a new sparsity measure, D-measure, which has many good properties, comparing with the conventional p-norm (0temp_span