Spring 2025
Time & Location: All talks are on Wednesdays in TBA at TBA PM unless otherwise noted.
Organizer: Xiang ji, Michelle Lacey and Yuwei Bao
February 12
Title: Multidimensional Empirical Wavelet Transform
Charles-Gérard Lucas- San Diego State University
Abstract: The empirical wavelet transform, inspired by empirical mode decomposition, is an adaptive time-frequency representation that extracts the different modes of a signal or image by designing a bank of adaptive wavelet filters. The data robustness of this transform has made it the subject of intense development and a growing number of applications over the past decade. However, to date, it has mainly been studied theoretically for signals, and its extension to images is limited to a specific wavelet kernel. This presentation will focus on a multidimensional extension of this transform formulated from a wavelet kernel. Theoretical and numerical properties of this formulation will be particularly detailed. Its interest for texture segmentation will also be highlighted.
Time: 1:00 pm
Location: 104 Norman Mayer
