12月16日，密西西比州立大学的James Edwin Fowler教授应邀做客成电学术讲坛，带来题为“Low-Rank and Sparse Representations in Signal Processing”的学术报告。本次报告由信息与通信工程学院朱策教授主持，相关方向师生参加讲座。
本次报告中，Jr.教授首先简单介绍了鲁棒性主成分分析（RPCA）的背景，许多信号处理问题都可以看成从观察信号中分离低秩信号和稀疏信号（噪声），接着Jr.教授从大家熟悉的主成分分析（PCA）模型，清晰的回顾了RPCA的历史发展，其中包括数学模型的发展，求解框架的发展等。随后，他讲解了当前RPCA存在的问题，并介绍他们团队解决该问题的算法（DECOLOR）及其在前景和背景分割的应用。最后，Jr.教授介绍了RPCA在高光谱图像降噪、聚类上的应用，并总结RPCA在信号处理领域的优点。
报告结束后，在场师生就相关学术问题与Jr.教授进行了深入交流和探讨，他耐心地解答了师生们提出的问题。最后，朱策教授对该讲座给与了高度评价，认为该讲座内容充实，学生积极参与度高！
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James E. Fowler received the B.S. degree in computer and information science engineering and the M.S. and Ph.D. degrees in electrical engineering from The Ohio State University, Columbus, OH, USA, in 1990, 1992, and 1996, respectively. In 1997, he held a postdoctoral assignment at the Université de Nice-Sophia Antipolis, France, and, in 2004, he was a Visiting Professor at Télécom ParisTech, Paris, France. He is currently Billie J. Ball Professor and Graduate Program Director of the Department of Electrical & Computer Engineering at Mississippi State University. Dr. Fowler is the Editor-in-Chief of IEEE Signal Processing Letters, and was previously a Senior Area Editor for IEEE Transactions on Image Processing and an Associate Editor for IEEE Transactions on Computational Imaging, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, and IEEE Signal Processing Letters. He is an Associate Editor for the EURASIP Journal on Image and Video Processing. He was a general co-chair of the 2014 IEEE International Conference on Image Processing, Paris, France. He is a Fellow of the IEEE.
