@inproceedings{14948cfe1ad14d15863132dcbe671fcf,
title = "The Short-Time Wigner-Ville Distribution Associated with Linear Canonical Transform",
abstract = "This article proposes the unified short-time Wigner-Ville distribution (USWD) and explores its various properties, which is a generalized integral transform suitable for time-varying signals with varying features. Recognizing the complexity involved in this transformation and aiming for practical applications, we focused our research on a specific case, denoted as SWDL. In this study, we derived the Heisenberg{\textquoteright}s uncertainty principle for SWDL and presented its discrete form. Furthermore, we investigated the potential applications of SWDL in the analysis of stepped-frequency linear frequency modulation (SF-LFM) signals.",
keywords = "Heisenberg{\textquoteright}s uncertainty principle, Wigner-Ville distribution, linear canonical transform",
author = "Chen, {Jian Yi} and Li, {Bing Zhao}",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 15th International Conference on Signal Processing Systems, ICSPS 2023 ; Conference date: 17-11-2023 Through 19-11-2023",
year = "2024",
doi = "10.1117/12.3023189",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Zhenkai Zhang and Cheng Li",
booktitle = "Fifteenth International Conference on Signal Processing Systems, ICSPS 2023",
address = "United States",
}