Research on critical issues of bi-dimensional empirical mode decomposition

• 主要作者: Huang, Yujia
• 其他作者: Qian Kemao
• 格式: Final Year Project
• 語言: English
• 出版: 2015
• 主題: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• 在線閱讀: http://hdl.handle.net/10356/62697
• 機構: Nanyang Technological University

In this report, we investigate the critical issues of bi-dimensional empirical mode decomposition (BEMD). BEMD has three major components – extrema detection, surface interpolation, and sifting iteration stoppage criterion. Multiple algorithms are available for each component and they can lead to to...