ORCID Profile
0000-0002-6550-7203
Current Organisation
University of South Australia
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Publisher: IEEE
Date: 05-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
Publisher: IEEE
Date: 06-2018
Publisher: IEEE
Date: 06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: IEEE
Date: 09-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2023
Publisher: IEEE
Date: 2008
Publisher: Institution of Engineering and Technology (IET)
Date: 14-03-2022
DOI: 10.1049/CMU2.12376
Publisher: IEEE
Date: 2011
Publisher: IEEE
Date: 11-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2013
Publisher: IEEE
Date: 07-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2008
Publisher: IEEE
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2014
Publisher: Springer Science and Business Media LLC
Date: 22-10-2018
DOI: 10.1038/S41598-018-33589-3
Abstract: We study quasi-spatially periodic signals (QSPSs) as a class of input signals of interest, which maintain their shapes quasi-periodically (with a phase change and a time shift) during propagation in an optical fibre. Instead of the computationally expensive nonlinear Fourier transform (NFT), the property of quasi-periodic shape invariant could be used as an alternative for decoding at the receiver. In this paper, properties of QSPSs and the signal design problem are studied, including the trade-off between various system parameters.
Publisher: IEEE
Date: 07-2013
Publisher: IEEE
Date: 06-2015
Publisher: Wiley
Date: 25-07-2022
DOI: 10.1002/SAT.1460
Abstract: This paper presents an algorithm for iterative joint channel parameter (carrier phase, Doppler shift, and Doppler rate) estimation and decoding of transmission over channels affected by Doppler shift and Doppler rate using a distributed receiver. This algorithm is derived by applying the sum‐product algorithm (SPA) to a factor graph representing the joint a posteriori distribution of the information symbols and channel parameters given the channel output. In this paper, we present two methods for dealing with intractable messages of the SPA. In the first approach, we use particle filtering with sequential importance s ling for the estimation of the unknown parameters. We also propose a method for fine‐tuning of particles for improved convergence. In the second approach, we approximate our model with a random walk phase model, followed by a phase tracking algorithm and polynomial regression algorithm to estimate the unknown parameters. We derive the Weighted Bayesian Cramer‐Rao Bounds for joint carrier phase, Doppler shift, and Doppler rate estimation, which take into account the prior distribution of the estimation parameters and are accurate lower bounds for all considered signal‐to‐noise ratio values. Numerical results (of bit error rate and the mean‐square error of parameter estimation) suggest that phase tracking with the random walk model slightly outperforms particle filtering. However, particle filtering has a lower computational cost than the random walk model‐based method.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2011
Publisher: IEEE
Date: 06-2013
Publisher: IEEE
Date: 02-2010
Publisher: IEEE
Date: 07-2016
Publisher: IEEE
Date: 11-2014
Publisher: IEEE
Date: 11-2014
Publisher: ACM
Date: 20-06-2017
Publisher: IEEE
Date: 06-2020
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 06-2009
Publisher: IEEE
Date: 2016
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 09-2012
Publisher: IEEE
Date: 07-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2017
Publisher: IEEE
Date: 07-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2011
Publisher: IEEE
Date: 06-2010
Publisher: IEEE
Date: 06-2014
Publisher: MDPI AG
Date: 22-12-2008
DOI: 10.3390/E10040765
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 12-2015
Publisher: IEEE
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2003
Publisher: IEEE
Date: 2012
Publisher: IEEE
Date: 07-2013
Publisher: IEEE
Date: 2012
Publisher: IEEE
Date: 06-2015
Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
Date: 2017
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 07-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2005
Publisher: IEEE
Date: 17-11-2021
Publisher: IEEE
Date: 12-2020
Publisher: Springer Science and Business Media LLC
Date: 25-04-2019
DOI: 10.1038/S41598-019-42510-5
Abstract: There is a fundamental limit on the capacity of fibre optical communication system (Shannon Limit). This limit can be potentially overcome via using Nonlinear Frequency Division Multiplexing. Dealing with noises in these systems is one of the most critical parts in implementing a practical system. In this paper, we discover and characterize the correlations among the NFT channels. It is demonstrated that the correlation is universal (i.e., independent of types of system noises) and can be exploited to maximize transmission throughput. We propose and experimentally confirm a noise model showing that end-to-end noise can be modelled as the accumulation of noise associated with each segment of optical communication which can be dealt with independently. Also, each point noise can be further decomposed into different components, some of which are more significant (and even dominating) than others. Hence, one can further approximate and simplify the noise model by focusing on the significant component.
Publisher: Springer Science and Business Media LLC
Date: 28-01-2021
DOI: 10.1038/S41598-021-82011-Y
Abstract: Inverse scattering transform or nonlinear Fourier transform (NFT) has been proposed for optic communication to increase channel capacity beyond the well known Shannon limit. Within NFT, solitons, as discrete outputs of the transform, can be a type of resource to carry information. Second-order solitons as the most basic higher order solitons show correlations among their parameters in the nonlinear Fourier domain as they propagate along a fibre. In this work, we report, for the first time, a correlation propagation model for second-order soliton pulses in the nonlinear Fourier domain. The model can predict covariance matrices of soliton pulses at any propagation distance using only the covariance matrices calculated at the input of the fibre with different phases in the nonlinear Fourier domain without the need of propagating the pulses.
Publisher: IEEE
Date: 07-2008
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 07-2008
Publisher: Cambridge University Press
Date: 16-06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2002
Publisher: MDPI AG
Date: 31-01-2011
DOI: 10.3390/E13020379
Publisher: IEEE
Date: 2002
Publisher: IEEE
Date: 06-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2005
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 06-2010
Publisher: IEEE
Date: 07-2012
Publisher: SPIE
Date: 30-12-2019
DOI: 10.1117/12.2539909
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Publisher: OSA
Date: 2018
Publisher: IEEE
Date: 08-2010
Publisher: Springer Science and Business Media LLC
Date: 13-05-2022
DOI: 10.1038/S41598-022-12141-4
Abstract: Two conceptual convolutional neural network (CNN) schemes are proposed, developed and analysed for directly decoding nonlinear frequency ision multiplexing (NFDM) signals with hardware implementation taken into consideration. A serial network scheme with a small network size is designed for small user applications, and a parallel network scheme with high speed is designed for places such as data centres. The work aimed at showing the potential of using CNN for practical NFDM-based fibre optic communication. In the numerical demonstrations, the serial network only occupies 0.5 MB of memory space while the parallel network occupies 128 MB of memory but allows parallel computing. Both network schemes were trained with simulated data and reached more than 99.9% accuracy.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2012
Publisher: IEEE
Date: 2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
Publisher: IEEE
Date: 06-2010
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 10-2015
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 06-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: IEEE
Date: 10-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Publisher: Inderscience Publishers
Date: 2016
Publisher: IEEE
Date: 04-2015
Publisher: IEEE
Date: 12-2013
Publisher: Cambridge University Press
Date: 16-06-2017
Abstract: Gain a solid understanding of how information theoretic approaches can inform the design of more secure information systems and networks with this authoritative text. With a particular focus on theoretical models and analytical results, leading researchers show how techniques derived from the principles of source and channel coding can provide new ways of addressing issues of data security, embedded security, privacy, and authentication in modern information systems. A wide range of wireless and cyber-physical systems is considered, including 5G cellular networks, the Tactile Internet, biometric identification systems, online data repositories, and smart electricity grids. This is an invaluable guide for both researchers and graduate students working in communications engineering, and industry practitioners and regulators interested in improving security in the next generation of information systems.
Publisher: IEEE
Date: 10-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Publisher: Springer Science and Business Media LLC
Date: 20-12-2019
Publisher: IEEE
Date: 04-2008
Publisher: IEEE
Date: 12-2020
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: IEEE
Date: 02-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2019
Publisher: IEEE
Date: 09-2019
Publisher: SPIE
Date: 30-12-2019
DOI: 10.1117/12.2539901
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
Publisher: IEEE
Date: 07-2012
Publisher: OSA
Date: 2016
Publisher: OSA
Date: 2016
Publisher: SPIE
Date: 30-12-2019
DOI: 10.1117/12.2539582
Publisher: Institute of Information Theory and Automation
Date: 05-01-2021
Publisher: IEEE
Date: 2011
Publisher: IEEE
Date: 2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Publisher: IEEE
Date: 06-2010
Publisher: IEEE
Date: 06-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2011
Publisher: IEEE
Date: 07-2011
No related grants have been discovered for Terence Chan.