Research on critical issues of bi-dimensional empirical mode decomposition

• Main Author: Huang, Yujia
• Other Authors: Qian Kemao
• Format: Final Year Project
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: http://hdl.handle.net/10356/62697
• Institution: 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...