Time-Frequency Distribution for Undersampled Non-stationary Signals using Chirp-based Kernel

Nguyen, YTH, McLernon, D orcid.org/0000-0002-5163-1975, Ghogho, M et al. (1 more author) (2019) Time-Frequency Distribution for Undersampled Non-stationary Signals using Chirp-based Kernel. In: 2018 5th NAFOSTED Conference on Information and Computer Science (NICS). NICS 2018: 5th NAFOSTED, 23 Nov - 24 Oct 2018, Ho Chi Minh city, Vietnam. IEEE , pp. 6-10. ISBN 978-1-5386-7983-8

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Copyright, Publisher and Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Reduced interference distribution; missing samples; non-stationary signal; time-frequency diforstribution; Cohen’s class; chirp-based kernel
Dates:
  • Published: 10 January 2019
  • Accepted: 1 September 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Oct 2018 10:12
Last Modified: 28 Feb 2019 14:40
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/NICS.2018.8606839

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