S
Stephen McLaughlin
Researcher at Heriot-Watt University
Publications - 469
Citations - 12016
Stephen McLaughlin is an academic researcher from Heriot-Watt University. The author has contributed to research in topics: Turbo code & Lidar. The author has an hindex of 51, co-authored 449 publications receiving 10648 citations. Previous affiliations of Stephen McLaughlin include University of Edinburgh & University of Toulouse.
Papers
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Journal ArticleDOI
Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding
TL;DR: In this paper, the wavelet thresholding principle is used in the decomposition modes resulting from applying EMD to a signal, and it is shown that although a direct application of this principle is not feasible in the EMD case, it can be appropriately adapted by exploiting the special characteristics of the E MD decomposition mode.
Journal ArticleDOI
Relay selection for secure cooperative networks with jamming
TL;DR: The proposed scheme enables an opportunistic selection of two relay nodes to increase security against eavesdroppers and jointly protects the primary destination against interference and eavesdropping and jams the reception of the eavesdropper.
Journal ArticleDOI
Time-Frequency Reassignment and Synchrosqueezing: An Overview
François Auger,Patrick Flandrin,Yu-Ting Lin,Stephen McLaughlin,Sylvain Meignen,Thomas Oberlin,Hau-Tieng Wu +6 more
TL;DR: This article provides a general overview of time-frequency (T-F) reassignment and synchrosqueezing techniques applied to multicomponent signals, covering the theoretical background and applications.
Proceedings ArticleDOI
Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound
TL;DR: The results show the ability of the texture analysis techniques used to discriminate clot lesions, and highlights the advantage of using the raw data over the scan-converted data in assessing thrombus composition in vitro.
Journal ArticleDOI
Amplify-and-forward with partial relay selection
TL;DR: The probability density function of the received signal-to-noise ratio for the considered relaying link is approximated in closed form, and an asymptotic exponential expression is proposed to simplify performance estimation.